IntVisAnW_Folium.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": "<p style=\"text-align:center\">\n    <a href=\"https://skills.network/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01\" target=\"_blank\">\n    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/assets/logos/SN_web_lightmode.png\" width=\"200\" alt=\"Skills Network Logo\"  />\n    </a>\n</p>\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "# **Launch Sites Locations Analysis with Folium**\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Estimated time needed: **40** minutes\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "The launch success rate may depend on many factors such as payload mass, orbit type, and so on. It may also depend on the location and proximities of a launch site, i.e., the initial position of rocket trajectories. Finding an optimal location for building a launch site certainly involves many factors and hopefully we could discover some of the factors by analyzing the existing launch site locations.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "In the previous exploratory data analysis labs, you have visualized the SpaceX launch dataset using `matplotlib` and `seaborn` and discovered some preliminary correlations between the launch site and success rates. In this lab, you will be performing more interactive visual analytics using `Folium`.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "## Warning\nSince the GitHub do not render a folium map, you may not see the folium interactive maps below.\nIf this is the case, please see the link below to view this page with nbviewer.\n[LINK](https://nbviewer.org/github/orhansonmeztr/IBM_Data_Science_Capstone/blob/main/IntVisAnW_Folium.ipynb)",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "## Objectives\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "This lab contains the following tasks:\n\n*   **TASK 1:** Mark all launch sites on a map\n*   **TASK 2:** Mark the success/failed launches for each site on the map\n*   **TASK 3:** Calculate the distances between a launch site to its proximities\n\nAfter completed the above tasks, you should be able to find some geographical patterns about launch sites.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Let's first import required Python packages for this lab:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "import piplite\nawait piplite.install(['folium'])\nawait piplite.install(['pandas'])",
      "metadata": {
        "trusted": true
      },
      "execution_count": 108,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": "import folium\nimport pandas as pd",
      "metadata": {
        "trusted": true
      },
      "execution_count": 109,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": "# Import folium MarkerCluster plugin\nfrom folium.plugins import MarkerCluster\n# Import folium MousePosition plugin\nfrom folium.plugins import MousePosition\n# Import folium DivIcon plugin\nfrom folium.features import DivIcon",
      "metadata": {
        "trusted": true
      },
      "execution_count": 110,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "If you need to refresh your memory about folium, you may download and refer to this previous folium lab:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "[Generating Maps with Python](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module\\_3/DV0101EN-3-5-1-Generating-Maps-in-Python-py-v2.0.ipynb)\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "## Task 1: Mark all launch sites on a map",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "First, let's try to add each site's location on a map using site's latitude and longitude coordinates\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "The following dataset with the name `spacex_launch_geo.csv` is an augmented dataset with latitude and longitude added for each site.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# Download and read the `spacex_launch_geo.csv`\nfrom js import fetch\nimport io\n\nURL = 'https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/datasets/spacex_launch_geo.csv'\nresp = await fetch(URL)\nspacex_csv_file = io.BytesIO((await resp.arrayBuffer()).to_py())\nspacex_df=pd.read_csv(spacex_csv_file)",
      "metadata": {
        "trusted": true
      },
      "execution_count": 111,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "Now, you can take a look at what are the coordinates for each site.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# Select relevant sub-columns: `Launch Site`, `Lat(Latitude)`, `Long(Longitude)`, `class`\nspacex_df = spacex_df[['Launch Site', 'Lat', 'Long', 'class']]\nlaunch_sites_df = spacex_df.groupby(['Launch Site'], as_index=False).first()\nlaunch_sites_df = launch_sites_df[['Launch Site', 'Lat', 'Long']]\nlaunch_sites_df",
      "metadata": {
        "trusted": true
      },
      "execution_count": 112,
      "outputs": [
        {
          "execution_count": 112,
          "output_type": "execute_result",
          "data": {
            "text/plain": "    Launch Site        Lat        Long\n0   CCAFS LC-40  28.562302  -80.577356\n1  CCAFS SLC-40  28.563197  -80.576820\n2    KSC LC-39A  28.573255  -80.646895\n3   VAFB SLC-4E  34.632834 -120.610745",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Launch Site</th>\n      <th>Lat</th>\n      <th>Long</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>CCAFS LC-40</td>\n      <td>28.562302</td>\n      <td>-80.577356</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>KSC LC-39A</td>\n      <td>28.573255</td>\n      <td>-80.646895</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>VAFB SLC-4E</td>\n      <td>34.632834</td>\n      <td>-120.610745</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
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        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Above coordinates are just plain numbers that can not give you any intuitive insights about where are those launch sites. If you are very good at geography, you can interpret those numbers directly in your mind. If not, that's fine too. Let's visualize those locations by pinning them on a map.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "We first need to create a folium `Map` object, with an initial center location to be NASA Johnson Space Center at Houston, Texas.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# Start location is NASA Johnson Space Center\nnasa_coordinate = [29.559684888503615, -95.0830971930759]\nsite_map = folium.Map(location=nasa_coordinate, zoom_start=10)",
      "metadata": {
        "trusted": true
      },
      "execution_count": 113,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "We could use `folium.Circle` to add a highlighted circle area with a text label on a specific coordinate. For example,\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# Create a blue circle at NASA Johnson Space Center's coordinate with a popup label showing its name\ncircle = folium.Circle(nasa_coordinate, radius=1000, color='#d35400', fill=True).add_child(folium.Popup('NASA Johnson Space Center'))\n# Create a blue circle at NASA Johnson Space Center's coordinate with a icon showing its name\nmarker = folium.map.Marker(\n    nasa_coordinate,\n    # Create an icon as a text label\n    icon=DivIcon(\n        icon_size=(20,20),\n        icon_anchor=(0,0),\n        html='<div style=\"font-size: 12; color:#d35400;\"><b>%s</b></div>' % 'NASA JSC',\n        )\n    )\nsite_map.add_child(circle)\nsite_map.add_child(marker)",
      "metadata": {
        "trusted": true
      },
      "execution_count": 114,
      "outputs": [
        {
          "execution_count": 114,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<folium.folium.Map at 0x4511830>",
            "text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n&lt;html&gt;\n&lt;head&gt;\n    \n    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n    \n        &lt;script&gt;\n            L_NO_TOUCH = false;\n            L_DISABLE_3D = false;\n        &lt;/script&gt;\n    \n    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n    \n            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n            &lt;style&gt;\n                #map_3b5020c392522da07658ea8ed01ac966 {\n                    position: relative;\n                    width: 100.0%;\n                    height: 100.0%;\n                    left: 0.0%;\n                    top: 0.0%;\n                }\n                .leaflet-container { font-size: 1rem; }\n            &lt;/style&gt;\n        \n&lt;/head&gt;\n&lt;body&gt;\n    \n    \n            &lt;div class=&quot;folium-map&quot; id=&quot;map_3b5020c392522da07658ea8ed01ac966&quot; &gt;&lt;/div&gt;\n        \n&lt;/body&gt;\n&lt;script&gt;\n    \n    \n            var map_3b5020c392522da07658ea8ed01ac966 = L.map(\n                &quot;map_3b5020c392522da07658ea8ed01ac966&quot;,\n                {\n                    center: [29.559684888503615, -95.0830971930759],\n                    crs: L.CRS.EPSG3857,\n                    zoom: 10,\n                    zoomControl: true,\n                    preferCanvas: false,\n                }\n            );\n\n            \n\n        \n    \n            var tile_layer_728b9f6b72907220980f149c78a9879a = L.tileLayer(\n                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n            ).addTo(map_3b5020c392522da07658ea8ed01ac966);\n        \n    \n            var circle_26b5fc84edf8861b715c47f7e53d9488 = L.circle(\n                [29.559684888503615, -95.0830971930759],\n                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d35400&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d35400&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 1000, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n            ).addTo(map_3b5020c392522da07658ea8ed01ac966);\n        \n    \n        var popup_2c497182cee07328a44413d5000af84b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n\n        \n            \n                var html_cf4e309eed9c4c88a0340adf01fd3399 = $(`&lt;div id=&quot;html_cf4e309eed9c4c88a0340adf01fd3399&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;NASA Johnson Space Center&lt;/div&gt;`)[0];\n                popup_2c497182cee07328a44413d5000af84b.setContent(html_cf4e309eed9c4c88a0340adf01fd3399);\n            \n        \n\n        circle_26b5fc84edf8861b715c47f7e53d9488.bindPopup(popup_2c497182cee07328a44413d5000af84b)\n        ;\n\n        \n    \n    \n            var marker_dd76c082fe8c56198438bf09a2a460df = L.marker(\n                [29.559684888503615, -95.0830971930759],\n                {}\n            ).addTo(map_3b5020c392522da07658ea8ed01ac966);\n        \n    \n            var div_icon_0b3f8960f50c14044161b302865f5b68 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003eNASA JSC\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_dd76c082fe8c56198438bf09a2a460df.setIcon(div_icon_0b3f8960f50c14044161b302865f5b68);\n        \n&lt;/script&gt;\n&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
          },
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    {
      "cell_type": "markdown",
      "source": "and you should find a small yellow circle near the city of Houston and you can zoom-in to see a larger circle.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Now, let's add a circle for each launch site in data frame `launch_sites`\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "*TODO:*  Create and add `folium.Circle` and `folium.Marker` for each launch site on the site map\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "An example of folium.Circle:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "`folium.Circle(coordinate, radius=1000, color='#000000', fill=True).add_child(folium.Popup(...))`\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "An example of folium.Marker:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "`folium.map.Marker(coordinate, icon=DivIcon(icon_size=(20,20),icon_anchor=(0,0), html='<div style=\"font-size: 12; color:#d35400;\"><b>%s</b></div>' % 'label', ))`\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# Initial the map\nsite_map = folium.Map(location=nasa_coordinate, zoom_start=5)\n# For each launch site, add a Circle object based on its coordinate (Lat, Long) values. In addition, add Launch site name as a popup label\nfor index, site in launch_sites_df.iterrows():\n    circle = folium.Circle([site['Lat'], site['Long']], color='#d35400', radius=50, fill=True).add_child(folium.Popup(site['Launch Site']))\n    marker = folium.Marker(\n    [site['Lat'], site['Long']],\n    # Create an icon as a text label\n    icon=DivIcon(\n        icon_size=(20,20),\n        icon_anchor=(0,0),\n        html='<div style=\"font-size: 12; color:#d35400;\"><b>%s</b></div>' % site['Launch Site'],\n        )\n    )\n    site_map.add_child(circle)\n    site_map.add_child(marker)\nsite_map",
      "metadata": {
        "trusted": true
      },
      "execution_count": 115,
      "outputs": [
        {
          "execution_count": 115,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<folium.folium.Map at 0x43b50d0>",
            "text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n&lt;html&gt;\n&lt;head&gt;\n    \n    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n    \n        &lt;script&gt;\n            L_NO_TOUCH = false;\n            L_DISABLE_3D = false;\n        &lt;/script&gt;\n    \n    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "The generated map with marked launch sites should look similar to the following:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_3/images/launch_site_markers.png\">",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Now, you can explore the map by zoom-in/out the marked areas\n, and try to answer the following questions:\n\n*   Are all launch sites in proximity to the Equator line?\n*   Are all launch sites in very close proximity to the coast?\n\nAlso please try to explain your findings.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "# Task 2: Mark the success/failed launches for each site on the map",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Next, let's try to enhance the map by adding the launch outcomes for each site, and see which sites have high success rates.\nRecall that data frame spacex_df has detailed launch records, and the `class` column indicates if this launch was successful or not\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "spacex_df.tail(10)",
      "metadata": {
        "trusted": true
      },
      "execution_count": 116,
      "outputs": [
        {
          "execution_count": 116,
          "output_type": "execute_result",
          "data": {
            "text/plain": "     Launch Site        Lat       Long  class\n46    KSC LC-39A  28.573255 -80.646895      1\n47    KSC LC-39A  28.573255 -80.646895      1\n48    KSC LC-39A  28.573255 -80.646895      1\n49  CCAFS SLC-40  28.563197 -80.576820      1\n50  CCAFS SLC-40  28.563197 -80.576820      1\n51  CCAFS SLC-40  28.563197 -80.576820      0\n52  CCAFS SLC-40  28.563197 -80.576820      0\n53  CCAFS SLC-40  28.563197 -80.576820      0\n54  CCAFS SLC-40  28.563197 -80.576820      1\n55  CCAFS SLC-40  28.563197 -80.576820      0",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Launch Site</th>\n      <th>Lat</th>\n      <th>Long</th>\n      <th>class</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>46</th>\n      <td>KSC LC-39A</td>\n      <td>28.573255</td>\n      <td>-80.646895</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>47</th>\n      <td>KSC LC-39A</td>\n      <td>28.573255</td>\n      <td>-80.646895</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>48</th>\n      <td>KSC LC-39A</td>\n      <td>28.573255</td>\n      <td>-80.646895</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>49</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>50</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>51</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>52</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>53</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>54</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>55</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Next, let's create markers for all launch records.\nIf a launch was successful `(class=1)`, then we use a green marker and if a launch was failed, we use a red marker `(class=0)`\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Note that a launch only happens in one of the four launch sites, which means many launch records will have the exact same coordinate. Marker clusters can be a good way to simplify a map containing many markers having the same coordinate.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Let's first create a `MarkerCluster` object\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "marker_cluster = MarkerCluster()",
      "metadata": {
        "trusted": true
      },
      "execution_count": 117,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "*TODO:* Create a new column in `launch_sites` dataframe called `marker_color` to store the marker colors based on the `class` value\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# Apply a function to check the value of `class` column\n# If class=1, marker_color value will be green\n# If class=0, marker_color value will be red\ndef assign_marker_color(launch_outcome):\n    if launch_outcome == 1:\n        return 'green'\n    else:\n        return 'red'\n    \nspacex_df['marker_color'] = spacex_df['class'].apply(assign_marker_color)\nspacex_df.tail(10)",
      "metadata": {
        "trusted": true
      },
      "execution_count": 118,
      "outputs": [
        {
          "execution_count": 118,
          "output_type": "execute_result",
          "data": {
            "text/plain": "     Launch Site        Lat       Long  class marker_color\n46    KSC LC-39A  28.573255 -80.646895      1        green\n47    KSC LC-39A  28.573255 -80.646895      1        green\n48    KSC LC-39A  28.573255 -80.646895      1        green\n49  CCAFS SLC-40  28.563197 -80.576820      1        green\n50  CCAFS SLC-40  28.563197 -80.576820      1        green\n51  CCAFS SLC-40  28.563197 -80.576820      0          red\n52  CCAFS SLC-40  28.563197 -80.576820      0          red\n53  CCAFS SLC-40  28.563197 -80.576820      0          red\n54  CCAFS SLC-40  28.563197 -80.576820      1        green\n55  CCAFS SLC-40  28.563197 -80.576820      0          red",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Launch Site</th>\n      <th>Lat</th>\n      <th>Long</th>\n      <th>class</th>\n      <th>marker_color</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>46</th>\n      <td>KSC LC-39A</td>\n      <td>28.573255</td>\n      <td>-80.646895</td>\n      <td>1</td>\n      <td>green</td>\n    </tr>\n    <tr>\n      <th>47</th>\n      <td>KSC LC-39A</td>\n      <td>28.573255</td>\n      <td>-80.646895</td>\n      <td>1</td>\n      <td>green</td>\n    </tr>\n    <tr>\n      <th>48</th>\n      <td>KSC LC-39A</td>\n      <td>28.573255</td>\n      <td>-80.646895</td>\n      <td>1</td>\n      <td>green</td>\n    </tr>\n    <tr>\n      <th>49</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>1</td>\n      <td>green</td>\n    </tr>\n    <tr>\n      <th>50</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>1</td>\n      <td>green</td>\n    </tr>\n    <tr>\n      <th>51</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>0</td>\n      <td>red</td>\n    </tr>\n    <tr>\n      <th>52</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>0</td>\n      <td>red</td>\n    </tr>\n    <tr>\n      <th>53</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>0</td>\n      <td>red</td>\n    </tr>\n    <tr>\n      <th>54</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>1</td>\n      <td>green</td>\n    </tr>\n    <tr>\n      <th>55</th>\n      <td>CCAFS SLC-40</td>\n      <td>28.563197</td>\n      <td>-80.576820</td>\n      <td>0</td>\n      <td>red</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "*TODO:* For each launch result in `spacex_df` data frame, add a `folium.Marker` to `marker_cluster`\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# Add marker_cluster to current site_map\nsite_map.add_child(marker_cluster)\n\n# for each row in spacex_df data frame\n# create a Marker object with its coordinate\n# and customize the Marker's icon property to indicate if this launch was successed or failed, \n# e.g., icon=folium.Icon(color='white', icon_color=row['marker_color']\nfor index, record in spacex_df.iterrows():\n    # TODO: Create and add a Marker cluster to the site map\n    marker = folium.Marker([record['Lat'], record['Long']], \n                  icon=folium.Icon(color='white', icon_color=record['marker_color']))\n    marker_cluster.add_child(marker)\n\nsite_map",
      "metadata": {
        "trusted": true
      },
      "execution_count": 119,
      "outputs": [
        {
          "execution_count": 119,
          "output_type": "execute_result",
          "data": {
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);\n            marker_750e7cc6abebe2d7eeecdf3e98d2cb55.setIcon(icon_3dfb109a752be21f42af1bec444e764f);\n        \n    \n            var marker_ebabf979d3b97441f8665f2290919064 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_c3bc70a8a9799196f6ac74acb3b1eccd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_ebabf979d3b97441f8665f2290919064.setIcon(icon_c3bc70a8a9799196f6ac74acb3b1eccd);\n        \n    \n            var marker_956b72f61f2fcbb0fb3b12c838e07066 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0ca132632e64c7387c41312f6f4956d8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_956b72f61f2fcbb0fb3b12c838e07066.setIcon(icon_0ca132632e64c7387c41312f6f4956d8);\n        \n    \n            var marker_45c170b9df5b44c973af4df8c10b6bbc = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0cf84bd04764c493a3188833d1bc8cd8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_45c170b9df5b44c973af4df8c10b6bbc.setIcon(icon_0cf84bd04764c493a3188833d1bc8cd8);\n        \n    \n            var marker_7cc135dded14df71f92ebccf80fb34cb = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ca32f39fc3a43a54d7de41e5c51fd5fd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7cc135dded14df71f92ebccf80fb34cb.setIcon(icon_ca32f39fc3a43a54d7de41e5c51fd5fd);\n        \n    \n            var marker_02dc421937dbea7c6d5299e3a03cae00 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_458a9810b8969bf4db1f45665e3964d8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_02dc421937dbea7c6d5299e3a03cae00.setIcon(icon_458a9810b8969bf4db1f45665e3964d8);\n        \n    \n            var marker_b9170ac262b1632bc7fe8ec235f74152 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0a5f3f600d207215bdeed17b85260018 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b9170ac262b1632bc7fe8ec235f74152.setIcon(icon_0a5f3f600d207215bdeed17b85260018);\n        \n    \n            var marker_b0fba78214eb9e11c5487dfd96eeca0a = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_237cefd2f1f3930764210d7e6db83aea = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b0fba78214eb9e11c5487dfd96eeca0a.setIcon(icon_237cefd2f1f3930764210d7e6db83aea);\n        \n    \n            var marker_f256fed45eb3ea7a39395d2a9910810e = L.marker(\n                [28.56230197, -80.57735648],\n                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&quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd2a44a1152605c3cb2f9cc3386e2797.setIcon(icon_5a421ce3f8be07995c2a3fdfcc8bd427);\n        \n    \n            var marker_50c30f3884f7d110346e66c93cb97c18 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_197c3ff86652f5d0fba8926e6b1c8efb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_50c30f3884f7d110346e66c93cb97c18.setIcon(icon_197c3ff86652f5d0fba8926e6b1c8efb);\n        \n    \n            var marker_2f94368d88728bd26a2871dda411edd2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f7b3b9be66a291fc7490d2a88da5335a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_2f94368d88728bd26a2871dda411edd2.setIcon(icon_f7b3b9be66a291fc7490d2a88da5335a);\n        \n    \n            var marker_dd4f79cf6b4cf704e6ba1de7b3e00396 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_cb03ed1d67e52546246fed32b9595b49 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd4f79cf6b4cf704e6ba1de7b3e00396.setIcon(icon_cb03ed1d67e52546246fed32b9595b49);\n        \n    \n            var marker_94c8e77d4c8c64ee2cdb04de5748330b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d5d855fde5ba5196d19acfa6e2663cf2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_94c8e77d4c8c64ee2cdb04de5748330b.setIcon(icon_d5d855fde5ba5196d19acfa6e2663cf2);\n        \n    \n            var marker_1c1bc3351d2d6e50cc2ab4c65145bb48 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_092727e889decee882620fdd1207d5f3 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_1c1bc3351d2d6e50cc2ab4c65145bb48.setIcon(icon_092727e889decee882620fdd1207d5f3);\n        \n    \n            var marker_75934ccbcb5de93ec6b7f62c9f8e8c9d = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_c7775739b650bbc54a0bee3f704dcfec = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_75934ccbcb5de93ec6b7f62c9f8e8c9d.setIcon(icon_c7775739b650bbc54a0bee3f704dcfec);\n        \n    \n            var marker_0ec14c60696445354801cf8e7d0be19c = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5151a8c9304db43a5afcb45cd4c158ad = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0ec14c60696445354801cf8e7d0be19c.setIcon(icon_5151a8c9304db43a5afcb45cd4c158ad);\n        \n    \n            var marker_8b17920cfafa1fde1afdf3d505bc0c81 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_156c013f74bcc2abe83ca95afe5f5e51 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8b17920cfafa1fde1afdf3d505bc0c81.setIcon(icon_156c013f74bcc2abe83ca95afe5f5e51);\n        \n    \n            var marker_7ef06a9bc184b4c259f8f89dd66bb72b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_02c5061b4c8bbaa37570332cf50ceec8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7ef06a9bc184b4c259f8f89dd66bb72b.setIcon(icon_02c5061b4c8bbaa37570332cf50ceec8);\n        \n    \n            var marker_a68a67a66f6ce39f58c4aa653c8daba0 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_95892ebcf6e1fbf83efe23935ab389dd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_a68a67a66f6ce39f58c4aa653c8daba0.setIcon(icon_95892ebcf6e1fbf83efe23935ab389dd);\n        \n    \n            var marker_736b422562b0d584548239cb1fba74a2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f77b023766ac34a4b3b61e14e487b8d9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_736b422562b0d584548239cb1fba74a2.setIcon(icon_f77b023766ac34a4b3b61e14e487b8d9);\n        \n    \n            var marker_225fd0fa3abbe49d40b8fa77d0d966c8 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9db630f62a1adbe7ddbf0bc8f73b9a0d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_225fd0fa3abbe49d40b8fa77d0d966c8.setIcon(icon_9db630f62a1adbe7ddbf0bc8f73b9a0d);\n        \n    \n            var marker_eb18617aa78b09198a407c7286eca61e = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d1e560c7f5c49f4db07ff3ca8f1bfee0 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_eb18617aa78b09198a407c7286eca61e.setIcon(icon_d1e560c7f5c49f4db07ff3ca8f1bfee0);\n        \n    \n            var marker_edc219614be330aa51bb48c16be022fb = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_123e68a749e5df74e11a6e6ba35daed1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_edc219614be330aa51bb48c16be022fb.setIcon(icon_123e68a749e5df74e11a6e6ba35daed1);\n        \n    \n            var marker_7c27d38e87acc52b3720166a71fefb60 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_17d9ac5dca44d7ed35323230b15ea292 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c27d38e87acc52b3720166a71fefb60.setIcon(icon_17d9ac5dca44d7ed35323230b15ea292);\n        \n    \n            var marker_abcc123375dd207e869011f6614502d4 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9a54937c26a1f907a85da01ac0cd98ba = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_abcc123375dd207e869011f6614502d4.setIcon(icon_9a54937c26a1f907a85da01ac0cd98ba);\n        \n    \n            var marker_b3100f7d9d4776dc3d60d4f9f5688ca0 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_e21110e2be9a55439c17bd371a73bc9e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b3100f7d9d4776dc3d60d4f9f5688ca0.setIcon(icon_e21110e2be9a55439c17bd371a73bc9e);\n        \n    \n            var marker_6518c82bb551e2003152bf09568a2288 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_844f6e7b28eba2ebcfb33c6f51318517 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6518c82bb551e2003152bf09568a2288.setIcon(icon_844f6e7b28eba2ebcfb33c6f51318517);\n        \n    \n            var marker_0915f118ea5e9da6b20bc0729bd3806a = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_a6ce4a76f6f41458374edf5908f8be2d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0915f118ea5e9da6b20bc0729bd3806a.setIcon(icon_a6ce4a76f6f41458374edf5908f8be2d);\n        \n    \n            var marker_b601978b8b627523ae04ee06e8f8c5b2 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_64e3c80eb4a672c57972edb0cfe42306 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b601978b8b627523ae04ee06e8f8c5b2.setIcon(icon_64e3c80eb4a672c57972edb0cfe42306);\n        \n    \n            var marker_545c81e146e64f551cac1ae0609705b1 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9b61f35a0d00edd9c446d591389d552b = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_545c81e146e64f551cac1ae0609705b1.setIcon(icon_9b61f35a0d00edd9c446d591389d552b);\n        \n    \n            var marker_6aaa04e6cfece208dc95eee5fafef428 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a3f2d690797b8e449a432ea3fb786df = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6aaa04e6cfece208dc95eee5fafef428.setIcon(icon_5a3f2d690797b8e449a432ea3fb786df);\n        \n    \n            var marker_d5918e3d7c4b0e6901efeeddbdcbfe3c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_bb2fb2f81c189e553892255c5c9402a1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_d5918e3d7c4b0e6901efeeddbdcbfe3c.setIcon(icon_bb2fb2f81c189e553892255c5c9402a1);\n        \n    \n            var marker_80eb1bd5b08f8d5d0367af8bb0203855 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_047403db7d8ac6fa2bcd77fdc20307b2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_80eb1bd5b08f8d5d0367af8bb0203855.setIcon(icon_047403db7d8ac6fa2bcd77fdc20307b2);\n        \n    \n            var marker_3a7a8e5b65ed39047acea13a033aac3a = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3318fe2f23c0e9ad001f5da3a120685c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_3a7a8e5b65ed39047acea13a033aac3a.setIcon(icon_3318fe2f23c0e9ad001f5da3a120685c);\n        \n    \n            var marker_234f7098bc64307668f0c140280efacb = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_22a2cd5d351de6f14a4b4f5146e90170 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_234f7098bc64307668f0c140280efacb.setIcon(icon_22a2cd5d351de6f14a4b4f5146e90170);\n        \n    \n            var marker_886a3619670f774658e191b070bd7b06 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5694bc2004bffa40402a4f579306f03a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_886a3619670f774658e191b070bd7b06.setIcon(icon_5694bc2004bffa40402a4f579306f03a);\n        \n    \n            var marker_8cb88aaa386756caa4745f8f34edbb2d = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ed01465cd062a47d9b3796a719bf901f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8cb88aaa386756caa4745f8f34edbb2d.setIcon(icon_ed01465cd062a47d9b3796a719bf901f);\n        \n    \n            var marker_18b96d31e3b6e083e1859556c843ea2c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_19378f0296a44b50915b2319a38c892f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_18b96d31e3b6e083e1859556c843ea2c.setIcon(icon_19378f0296a44b50915b2319a38c892f);\n        \n    \n            var marker_54319085f09fab6bd15f55c3987babbf = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_60634386f6c651e36acd74bceb4cbcdb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_54319085f09fab6bd15f55c3987babbf.setIcon(icon_60634386f6c651e36acd74bceb4cbcdb);\n        \n    \n            var marker_8841612cad6d63a36d2696270205f89b = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_45c08322814f29f7e90f4f4066d04a03 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8841612cad6d63a36d2696270205f89b.setIcon(icon_45c08322814f29f7e90f4f4066d04a03);\n        \n    \n            var marker_e2526b953a5e18a6fc301ab04b78d5df = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5642a40d9bae920fed45c4bfadfd2c0f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_e2526b953a5e18a6fc301ab04b78d5df.setIcon(icon_5642a40d9bae920fed45c4bfadfd2c0f);\n        \n    \n            var marker_6e259e20b3b2c7fe6a4c683d7c33fa7d = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9e2c02f812c1bc23668c4456ac136398 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6e259e20b3b2c7fe6a4c683d7c33fa7d.setIcon(icon_9e2c02f812c1bc23668c4456ac136398);\n        \n    \n            var marker_089e867689e9be4914a0c337a764b0fc = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_fcdd6976c75bc8125424b6c80b9edcd7 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_089e867689e9be4914a0c337a764b0fc.setIcon(icon_fcdd6976c75bc8125424b6c80b9edcd7);\n        \n    \n            var marker_8548f52def74b608b84a55bd9fc09618 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_6b0e87f2c859feed13c5ddd40f5a013e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8548f52def74b608b84a55bd9fc09618.setIcon(icon_6b0e87f2c859feed13c5ddd40f5a013e);\n        \n    \n            var marker_58907bc6cf71e2a675d11610115cf062 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_286f791ac1705f859ed597467044b57c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_58907bc6cf71e2a675d11610115cf062.setIcon(icon_286f791ac1705f859ed597467044b57c);\n        \n    \n            var marker_7c360060a359774247f35ab67cb923af = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_817767820dddd854f5e2238ac16dc714 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c360060a359774247f35ab67cb923af.setIcon(icon_817767820dddd854f5e2238ac16dc714);\n        \n    \n            var marker_43fd4c66671092a4859e54fe82a8df4e = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_b1b263f76fe8f781bc44c759e8ee70fd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_43fd4c66671092a4859e54fe82a8df4e.setIcon(icon_b1b263f76fe8f781bc44c759e8ee70fd);\n        \n    \n            var marker_7cc74830928518911085ab86d02a3910 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7cc74830928518911085ab86d02a3910.setIcon(icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9);\n        \n    \n            var marker_6f9a2c9c6b7282460a0b7057467250c9 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_82ab9aaac922e9acd57c1f0371eb7145 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6f9a2c9c6b7282460a0b7057467250c9.setIcon(icon_82ab9aaac922e9acd57c1f0371eb7145);\n        \n    \n            var marker_522d2064e2cc4f9e65720356f198e8ba = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f0f07d8c2befe0487cc430a72d3ea1a5 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_522d2064e2cc4f9e65720356f198e8ba.setIcon(icon_f0f07d8c2befe0487cc430a72d3ea1a5);\n        \n    \n            var marker_968637325e41c04b5930a53b9265e125 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d8e4b663fd2ed5a7a4290054661928f4 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_968637325e41c04b5930a53b9265e125.setIcon(icon_d8e4b663fd2ed5a7a4290054661928f4);\n        \n&lt;/script&gt;\n&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Your updated map may look like the following screenshots:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "<center>\n    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_3/images/launch_site_marker_cluster.png\">\n</center>\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_3/images/launch_site_marker_cluster_zoomed.png\">\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "From the color-labeled markers in marker clusters, you should be able to easily identify which launch sites have relatively high success rates.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "# TASK 3: Calculate the distances between a launch site to its proximities",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Next, we need to explore and analyze the proximities of launch sites.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Let's first add a `MousePosition` on the map to get coordinate for a mouse over a point on the map. As such, while you are exploring the map, you can easily find the coordinates of any points of interests (such as railway)\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# Add Mouse Position to get the coordinate (Lat, Long) for a mouse over on the map\nformatter = \"function(num) {return L.Util.formatNum(num, 5);};\"\nmouse_position = MousePosition(\n    position='topright',\n    separator=' Long: ',\n    empty_string='NaN',\n    lng_first=False,\n    num_digits=20,\n    prefix='Lat:',\n    lat_formatter=formatter,\n    lng_formatter=formatter,\n)\n\nsite_map.add_child(mouse_position)\nsite_map",
      "metadata": {
        "trusted": true
      },
      "execution_count": 120,
      "outputs": [
        {
          "execution_count": 120,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<folium.folium.Map at 0x43b50d0>",
            "text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n&lt;html&gt;\n&lt;head&gt;\n    \n    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n    \n        &lt;script&gt;\n            L_NO_TOUCH = false;\n            L_DISABLE_3D = false;\n        &lt;/script&gt;\n    \n    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n    \n            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n            &lt;style&gt;\n                #map_e6e224e2ffd224e16eb8684de0c1d5ff {\n                    position: relative;\n                    width: 100.0%;\n                    height: 100.0%;\n                    left: 0.0%;\n                    top: 0.0%;\n                }\n                .leaflet-container { font-size: 1rem; }\n            &lt;/style&gt;\n        \n    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/leaflet.markercluster.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.Default.css&quot;/&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/gh/ardhi/Leaflet.MousePosition/src/L.Control.MousePosition.min.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/ardhi/Leaflet.MousePosition/src/L.Control.MousePosition.min.css&quot;/&gt;\n&lt;/head&gt;\n&lt;body&gt;\n    \n    \n            &lt;div class=&quot;folium-map&quot; id=&quot;map_e6e224e2ffd224e16eb8684de0c1d5ff&quot; &gt;&lt;/div&gt;\n        \n&lt;/body&gt;\n&lt;script&gt;\n    \n    \n            var map_e6e224e2ffd224e16eb8684de0c1d5ff = L.map(\n                &quot;map_e6e224e2ffd224e16eb8684de0c1d5ff&quot;,\n                {\n                    center: [29.559684888503615, -95.0830971930759],\n                    crs: L.CRS.EPSG3857,\n                    zoom: 5,\n                    zoomControl: true,\n                 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popup_c65202f677a2483d52d5e1e75b11cb8c.setContent(html_9f2cffe8c0aa15bb317b10db6fb646b7);\n            \n        \n\n        circle_eb60f8d62360333a79e2e4688c5b7798.bindPopup(popup_c65202f677a2483d52d5e1e75b11cb8c)\n        ;\n\n        \n    \n    \n            var marker_b2796950271258db971da781d0d7db97 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_6f697d9f849df0804cfcf77d622ec388 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003eCCAFS LC-40\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_b2796950271258db971da781d0d7db97.setIcon(div_icon_6f697d9f849df0804cfcf77d622ec388);\n        \n    \n            var circle_291e3459ae399440eabbc6f4095e1ffe = L.circle(\n        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popup_1a8b9dbea844467892e4d0add270fc9f.setContent(html_b5337b800189129c8e556c7530d6a7b2);\n            \n        \n\n        circle_291e3459ae399440eabbc6f4095e1ffe.bindPopup(popup_1a8b9dbea844467892e4d0add270fc9f)\n        ;\n\n        \n    \n    \n            var marker_8e3c20dbc20e3942143a274ee5832674 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_e3e66d4cd7e6476f5448d17925af4071 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003eCCAFS SLC-40\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_8e3c20dbc20e3942143a274ee5832674.setIcon(div_icon_e3e66d4cd7e6476f5448d17925af4071);\n        \n    \n            var circle_faa753e3e7f95544ec9df7d5e2b673d8 = L.circle(\n                [28.57325457, -80.64689529],\n                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d35400&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d35400&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 50, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n        var popup_7b2e85dd990f89838bf24369718f864a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n\n        \n            \n                var html_dcf65697afe0d3275dbba4c84a6abe44 = $(`&lt;div id=&quot;html_dcf65697afe0d3275dbba4c84a6abe44&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;KSC LC-39A&lt;/div&gt;`)[0];\n                popup_7b2e85dd990f89838bf24369718f864a.setContent(html_dcf65697afe0d3275dbba4c84a6abe44);\n            \n        \n\n        circle_faa753e3e7f95544ec9df7d5e2b673d8.bindPopup(popup_7b2e85dd990f89838bf24369718f864a)\n        ;\n\n        \n    \n    \n            var marker_3c2df7fc71c9981c46b384081de29c3f = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_e25603441b0ca20c9053f692c38cb2d7 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003eKSC LC-39A\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_3c2df7fc71c9981c46b384081de29c3f.setIcon(div_icon_e25603441b0ca20c9053f692c38cb2d7);\n        \n    \n            var circle_a19cb6426947fb629cf21d2706a3463b = L.circle(\n         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popup_e69f63306ccacb8218e1ad9c3658eec6.setContent(html_61c6cfbec9dd96698534bbcf8d1fdf0e);\n            \n        \n\n        circle_a19cb6426947fb629cf21d2706a3463b.bindPopup(popup_e69f63306ccacb8218e1ad9c3658eec6)\n        ;\n\n        \n    \n    \n            var marker_754b98cf65ff6d5452837af3d53bc862 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_145f7dd98d7ff463f73c8a190b6c4700 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003eVAFB SLC-4E\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_754b98cf65ff6d5452837af3d53bc862.setIcon(div_icon_145f7dd98d7ff463f73c8a190b6c4700);\n        \n    \n            var marker_cluster_067d4896a7fc64b8be200c400fc3a32e = L.markerClusterGroup(\n                {}\n            );\n            map_e6e224e2ffd224e16eb8684de0c1d5ff.addLayer(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var marker_f73d24c9f2c144048095716fcdb14a4a = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_2d4eaecd04f3fd2b094d4b5711f4fccf = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_f73d24c9f2c144048095716fcdb14a4a.setIcon(icon_2d4eaecd04f3fd2b094d4b5711f4fccf);\n        \n    \n            var marker_724498e89cf72afd6437757c6a11bda9 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n          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&quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8a4c940df06ddca0c31d089dd5c20ad8.setIcon(icon_e287ccb937c3e311b008cacff521033c);\n        \n    \n            var marker_7b197231719883065e3e32a23159d463 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_24c4bf416b54ba4fda62fda7503f8503 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7b197231719883065e3e32a23159d463.setIcon(icon_24c4bf416b54ba4fda62fda7503f8503);\n        \n    \n            var marker_750e7cc6abebe2d7eeecdf3e98d2cb55 = L.marker(\n                [28.56230197, 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&quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_ebabf979d3b97441f8665f2290919064.setIcon(icon_c3bc70a8a9799196f6ac74acb3b1eccd);\n        \n    \n            var marker_956b72f61f2fcbb0fb3b12c838e07066 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0ca132632e64c7387c41312f6f4956d8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_956b72f61f2fcbb0fb3b12c838e07066.setIcon(icon_0ca132632e64c7387c41312f6f4956d8);\n        \n    \n            var marker_45c170b9df5b44c973af4df8c10b6bbc = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0cf84bd04764c493a3188833d1bc8cd8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_45c170b9df5b44c973af4df8c10b6bbc.setIcon(icon_0cf84bd04764c493a3188833d1bc8cd8);\n        \n    \n            var marker_7cc135dded14df71f92ebccf80fb34cb = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ca32f39fc3a43a54d7de41e5c51fd5fd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7cc135dded14df71f92ebccf80fb34cb.setIcon(icon_ca32f39fc3a43a54d7de41e5c51fd5fd);\n        \n    \n            var marker_02dc421937dbea7c6d5299e3a03cae00 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_458a9810b8969bf4db1f45665e3964d8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_02dc421937dbea7c6d5299e3a03cae00.setIcon(icon_458a9810b8969bf4db1f45665e3964d8);\n        \n    \n            var marker_b9170ac262b1632bc7fe8ec235f74152 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0a5f3f600d207215bdeed17b85260018 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b9170ac262b1632bc7fe8ec235f74152.setIcon(icon_0a5f3f600d207215bdeed17b85260018);\n        \n    \n            var marker_b0fba78214eb9e11c5487dfd96eeca0a = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_237cefd2f1f3930764210d7e6db83aea = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b0fba78214eb9e11c5487dfd96eeca0a.setIcon(icon_237cefd2f1f3930764210d7e6db83aea);\n        \n    \n            var marker_f256fed45eb3ea7a39395d2a9910810e = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ebdc04f44958aa3050d7ee5c5945467a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_f256fed45eb3ea7a39395d2a9910810e.setIcon(icon_ebdc04f44958aa3050d7ee5c5945467a);\n        \n    \n            var marker_dd2a44a1152605c3cb2f9cc3386e2797 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a421ce3f8be07995c2a3fdfcc8bd427 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd2a44a1152605c3cb2f9cc3386e2797.setIcon(icon_5a421ce3f8be07995c2a3fdfcc8bd427);\n        \n    \n            var marker_50c30f3884f7d110346e66c93cb97c18 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_197c3ff86652f5d0fba8926e6b1c8efb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_50c30f3884f7d110346e66c93cb97c18.setIcon(icon_197c3ff86652f5d0fba8926e6b1c8efb);\n        \n    \n            var marker_2f94368d88728bd26a2871dda411edd2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f7b3b9be66a291fc7490d2a88da5335a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_2f94368d88728bd26a2871dda411edd2.setIcon(icon_f7b3b9be66a291fc7490d2a88da5335a);\n        \n    \n            var marker_dd4f79cf6b4cf704e6ba1de7b3e00396 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_cb03ed1d67e52546246fed32b9595b49 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd4f79cf6b4cf704e6ba1de7b3e00396.setIcon(icon_cb03ed1d67e52546246fed32b9595b49);\n        \n    \n            var marker_94c8e77d4c8c64ee2cdb04de5748330b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d5d855fde5ba5196d19acfa6e2663cf2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_94c8e77d4c8c64ee2cdb04de5748330b.setIcon(icon_d5d855fde5ba5196d19acfa6e2663cf2);\n        \n    \n            var marker_1c1bc3351d2d6e50cc2ab4c65145bb48 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_092727e889decee882620fdd1207d5f3 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_1c1bc3351d2d6e50cc2ab4c65145bb48.setIcon(icon_092727e889decee882620fdd1207d5f3);\n        \n    \n            var marker_75934ccbcb5de93ec6b7f62c9f8e8c9d = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_c7775739b650bbc54a0bee3f704dcfec = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_75934ccbcb5de93ec6b7f62c9f8e8c9d.setIcon(icon_c7775739b650bbc54a0bee3f704dcfec);\n        \n    \n            var marker_0ec14c60696445354801cf8e7d0be19c = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5151a8c9304db43a5afcb45cd4c158ad = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0ec14c60696445354801cf8e7d0be19c.setIcon(icon_5151a8c9304db43a5afcb45cd4c158ad);\n        \n    \n            var marker_8b17920cfafa1fde1afdf3d505bc0c81 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_156c013f74bcc2abe83ca95afe5f5e51 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8b17920cfafa1fde1afdf3d505bc0c81.setIcon(icon_156c013f74bcc2abe83ca95afe5f5e51);\n        \n    \n            var marker_7ef06a9bc184b4c259f8f89dd66bb72b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_02c5061b4c8bbaa37570332cf50ceec8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7ef06a9bc184b4c259f8f89dd66bb72b.setIcon(icon_02c5061b4c8bbaa37570332cf50ceec8);\n        \n    \n            var marker_a68a67a66f6ce39f58c4aa653c8daba0 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_95892ebcf6e1fbf83efe23935ab389dd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_a68a67a66f6ce39f58c4aa653c8daba0.setIcon(icon_95892ebcf6e1fbf83efe23935ab389dd);\n        \n    \n            var marker_736b422562b0d584548239cb1fba74a2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f77b023766ac34a4b3b61e14e487b8d9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_736b422562b0d584548239cb1fba74a2.setIcon(icon_f77b023766ac34a4b3b61e14e487b8d9);\n        \n    \n            var marker_225fd0fa3abbe49d40b8fa77d0d966c8 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9db630f62a1adbe7ddbf0bc8f73b9a0d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_225fd0fa3abbe49d40b8fa77d0d966c8.setIcon(icon_9db630f62a1adbe7ddbf0bc8f73b9a0d);\n        \n    \n            var marker_eb18617aa78b09198a407c7286eca61e = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d1e560c7f5c49f4db07ff3ca8f1bfee0 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_eb18617aa78b09198a407c7286eca61e.setIcon(icon_d1e560c7f5c49f4db07ff3ca8f1bfee0);\n        \n    \n            var marker_edc219614be330aa51bb48c16be022fb = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_123e68a749e5df74e11a6e6ba35daed1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_edc219614be330aa51bb48c16be022fb.setIcon(icon_123e68a749e5df74e11a6e6ba35daed1);\n        \n    \n            var marker_7c27d38e87acc52b3720166a71fefb60 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_17d9ac5dca44d7ed35323230b15ea292 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c27d38e87acc52b3720166a71fefb60.setIcon(icon_17d9ac5dca44d7ed35323230b15ea292);\n        \n    \n            var marker_abcc123375dd207e869011f6614502d4 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9a54937c26a1f907a85da01ac0cd98ba = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_abcc123375dd207e869011f6614502d4.setIcon(icon_9a54937c26a1f907a85da01ac0cd98ba);\n        \n    \n            var marker_b3100f7d9d4776dc3d60d4f9f5688ca0 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_e21110e2be9a55439c17bd371a73bc9e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b3100f7d9d4776dc3d60d4f9f5688ca0.setIcon(icon_e21110e2be9a55439c17bd371a73bc9e);\n        \n    \n            var marker_6518c82bb551e2003152bf09568a2288 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_844f6e7b28eba2ebcfb33c6f51318517 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6518c82bb551e2003152bf09568a2288.setIcon(icon_844f6e7b28eba2ebcfb33c6f51318517);\n        \n    \n            var marker_0915f118ea5e9da6b20bc0729bd3806a = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_a6ce4a76f6f41458374edf5908f8be2d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0915f118ea5e9da6b20bc0729bd3806a.setIcon(icon_a6ce4a76f6f41458374edf5908f8be2d);\n        \n    \n            var marker_b601978b8b627523ae04ee06e8f8c5b2 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_64e3c80eb4a672c57972edb0cfe42306 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b601978b8b627523ae04ee06e8f8c5b2.setIcon(icon_64e3c80eb4a672c57972edb0cfe42306);\n        \n    \n            var marker_545c81e146e64f551cac1ae0609705b1 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9b61f35a0d00edd9c446d591389d552b = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_545c81e146e64f551cac1ae0609705b1.setIcon(icon_9b61f35a0d00edd9c446d591389d552b);\n        \n    \n            var marker_6aaa04e6cfece208dc95eee5fafef428 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a3f2d690797b8e449a432ea3fb786df = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6aaa04e6cfece208dc95eee5fafef428.setIcon(icon_5a3f2d690797b8e449a432ea3fb786df);\n        \n    \n            var marker_d5918e3d7c4b0e6901efeeddbdcbfe3c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n  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&quot;glyphicon&quot;}\n            );\n            marker_80eb1bd5b08f8d5d0367af8bb0203855.setIcon(icon_047403db7d8ac6fa2bcd77fdc20307b2);\n        \n    \n            var marker_3a7a8e5b65ed39047acea13a033aac3a = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3318fe2f23c0e9ad001f5da3a120685c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_3a7a8e5b65ed39047acea13a033aac3a.setIcon(icon_3318fe2f23c0e9ad001f5da3a120685c);\n        \n    \n            var marker_234f7098bc64307668f0c140280efacb = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            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&quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_886a3619670f774658e191b070bd7b06.setIcon(icon_5694bc2004bffa40402a4f579306f03a);\n        \n    \n            var marker_8cb88aaa386756caa4745f8f34edbb2d = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ed01465cd062a47d9b3796a719bf901f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8cb88aaa386756caa4745f8f34edbb2d.setIcon(icon_ed01465cd062a47d9b3796a719bf901f);\n        \n    \n            var marker_18b96d31e3b6e083e1859556c843ea2c = L.marker(\n                [28.57325457, 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&quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_54319085f09fab6bd15f55c3987babbf.setIcon(icon_60634386f6c651e36acd74bceb4cbcdb);\n        \n    \n            var marker_8841612cad6d63a36d2696270205f89b = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_45c08322814f29f7e90f4f4066d04a03 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8841612cad6d63a36d2696270205f89b.setIcon(icon_45c08322814f29f7e90f4f4066d04a03);\n        \n    \n            var marker_e2526b953a5e18a6fc301ab04b78d5df = 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&quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6e259e20b3b2c7fe6a4c683d7c33fa7d.setIcon(icon_9e2c02f812c1bc23668c4456ac136398);\n        \n    \n            var marker_089e867689e9be4914a0c337a764b0fc = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_fcdd6976c75bc8125424b6c80b9edcd7 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_089e867689e9be4914a0c337a764b0fc.setIcon(icon_fcdd6976c75bc8125424b6c80b9edcd7);\n        \n    \n            var 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marker_7c360060a359774247f35ab67cb923af.setIcon(icon_817767820dddd854f5e2238ac16dc714);\n        \n    \n            var marker_43fd4c66671092a4859e54fe82a8df4e = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_b1b263f76fe8f781bc44c759e8ee70fd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_43fd4c66671092a4859e54fe82a8df4e.setIcon(icon_b1b263f76fe8f781bc44c759e8ee70fd);\n        \n    \n            var marker_7cc74830928518911085ab86d02a3910 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7cc74830928518911085ab86d02a3910.setIcon(icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9);\n        \n    \n            var marker_6f9a2c9c6b7282460a0b7057467250c9 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_82ab9aaac922e9acd57c1f0371eb7145 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6f9a2c9c6b7282460a0b7057467250c9.setIcon(icon_82ab9aaac922e9acd57c1f0371eb7145);\n        \n    \n            var marker_522d2064e2cc4f9e65720356f198e8ba = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f0f07d8c2befe0487cc430a72d3ea1a5 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_522d2064e2cc4f9e65720356f198e8ba.setIcon(icon_f0f07d8c2befe0487cc430a72d3ea1a5);\n        \n    \n            var marker_968637325e41c04b5930a53b9265e125 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d8e4b663fd2ed5a7a4290054661928f4 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_968637325e41c04b5930a53b9265e125.setIcon(icon_d8e4b663fd2ed5a7a4290054661928f4);\n        \n    \n            var mouse_position_a12f475ec30763027bf3d20c35487696 = new L.Control.MousePosition(\n                {&quot;emptyString&quot;: &quot;NaN&quot;, &quot;lngFirst&quot;: false, &quot;numDigits&quot;: 20, &quot;position&quot;: &quot;topright&quot;, &quot;prefix&quot;: &quot;Lat:&quot;, &quot;separator&quot;: &quot; Long: &quot;}\n            );\n            mouse_position_a12f475ec30763027bf3d20c35487696.options[&quot;latFormatter&quot;] =\n                function(num) {return L.Util.formatNum(num, 5);};;\n            mouse_position_a12f475ec30763027bf3d20c35487696.options[&quot;lngFormatter&quot;] =\n                function(num) {return L.Util.formatNum(num, 5);};;\n            map_e6e224e2ffd224e16eb8684de0c1d5ff.addControl(mouse_position_a12f475ec30763027bf3d20c35487696);\n        \n&lt;/script&gt;\n&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Now zoom in to a launch site and explore its proximity to see if you can easily find any railway, highway, coastline, etc. Move your mouse to these points and mark down their coordinates (shown on the top-left) in order to the distance to the launch site.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "Now zoom in to a launch site and explore its proximity to see if you can easily find any railway, highway, coastline, etc. Move your mouse to these points and mark down their coordinates (shown on the top-left) in order to the distance to the launch site.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "from math import sin, cos, sqrt, atan2, radians\n\ndef calculate_distance(lat1, lon1, lat2, lon2):\n    # approximate radius of earth in km\n    R = 6373.0\n\n    lat1 = radians(lat1)\n    lon1 = radians(lon1)\n    lat2 = radians(lat2)\n    lon2 = radians(lon2)\n\n    dlon = lon2 - lon1\n    dlat = lat2 - lat1\n\n    a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2\n    c = 2 * atan2(sqrt(a), sqrt(1 - a))\n\n    distance = R * c\n    return distance",
      "metadata": {
        "trusted": true
      },
      "execution_count": 121,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": "*TODO:* Mark down a point on the closest coastline using MousePosition and calculate the distance between the coastline point and the launch site.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# find coordinate of the closet coastline\n# e.g.,: Lat: 28.56367  Lon: -80.57163\n# distance_coastline = calculate_distance(launch_site_lat, launch_site_lon, coastline_lat, coastline_lon)\ncoordinates = [\n    [28.56342, -80.57674],\n    [28.56342, -80.56794]]\ndistance = calculate_distance(coordinates[0][0], coordinates[0][1], coordinates[1][0], coordinates[1][1])",
      "metadata": {
        "trusted": true
      },
      "execution_count": 122,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": "# Create and add a folium.Marker on your selected closest coastline point on the map\n# Display the distance between coastline point and launch site using the icon property \n# for example\ndistance_marker = folium.Marker(\n    [28.56342, -80.56794],\n    icon=DivIcon(\n        icon_size=(20,20),\n        icon_anchor=(0,0),\n        html='<div style=\"font-size: 12; color:#d35400;\"><b>%s</b></div>' % \"{:10.2f} KM\".format(distance),\n        )\n    )\nsite_map.add_child(distance_marker)\nsite_map",
      "metadata": {
        "trusted": true
      },
      "execution_count": 123,
      "outputs": [
        {
          "execution_count": 123,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<folium.folium.Map at 0x43b50d0>",
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marker_b9170ac262b1632bc7fe8ec235f74152 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0a5f3f600d207215bdeed17b85260018 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b9170ac262b1632bc7fe8ec235f74152.setIcon(icon_0a5f3f600d207215bdeed17b85260018);\n        \n    \n            var marker_b0fba78214eb9e11c5487dfd96eeca0a = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_237cefd2f1f3930764210d7e6db83aea = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b0fba78214eb9e11c5487dfd96eeca0a.setIcon(icon_237cefd2f1f3930764210d7e6db83aea);\n        \n    \n            var marker_f256fed45eb3ea7a39395d2a9910810e = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ebdc04f44958aa3050d7ee5c5945467a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_f256fed45eb3ea7a39395d2a9910810e.setIcon(icon_ebdc04f44958aa3050d7ee5c5945467a);\n        \n    \n            var marker_dd2a44a1152605c3cb2f9cc3386e2797 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a421ce3f8be07995c2a3fdfcc8bd427 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd2a44a1152605c3cb2f9cc3386e2797.setIcon(icon_5a421ce3f8be07995c2a3fdfcc8bd427);\n        \n    \n            var marker_50c30f3884f7d110346e66c93cb97c18 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_197c3ff86652f5d0fba8926e6b1c8efb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_50c30f3884f7d110346e66c93cb97c18.setIcon(icon_197c3ff86652f5d0fba8926e6b1c8efb);\n        \n    \n            var marker_2f94368d88728bd26a2871dda411edd2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f7b3b9be66a291fc7490d2a88da5335a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_2f94368d88728bd26a2871dda411edd2.setIcon(icon_f7b3b9be66a291fc7490d2a88da5335a);\n        \n    \n            var marker_dd4f79cf6b4cf704e6ba1de7b3e00396 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_cb03ed1d67e52546246fed32b9595b49 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd4f79cf6b4cf704e6ba1de7b3e00396.setIcon(icon_cb03ed1d67e52546246fed32b9595b49);\n        \n    \n            var marker_94c8e77d4c8c64ee2cdb04de5748330b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d5d855fde5ba5196d19acfa6e2663cf2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_94c8e77d4c8c64ee2cdb04de5748330b.setIcon(icon_d5d855fde5ba5196d19acfa6e2663cf2);\n        \n    \n            var marker_1c1bc3351d2d6e50cc2ab4c65145bb48 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_092727e889decee882620fdd1207d5f3 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_1c1bc3351d2d6e50cc2ab4c65145bb48.setIcon(icon_092727e889decee882620fdd1207d5f3);\n        \n    \n            var marker_75934ccbcb5de93ec6b7f62c9f8e8c9d = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_c7775739b650bbc54a0bee3f704dcfec = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_75934ccbcb5de93ec6b7f62c9f8e8c9d.setIcon(icon_c7775739b650bbc54a0bee3f704dcfec);\n        \n    \n            var marker_0ec14c60696445354801cf8e7d0be19c = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5151a8c9304db43a5afcb45cd4c158ad = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0ec14c60696445354801cf8e7d0be19c.setIcon(icon_5151a8c9304db43a5afcb45cd4c158ad);\n        \n    \n            var marker_8b17920cfafa1fde1afdf3d505bc0c81 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_156c013f74bcc2abe83ca95afe5f5e51 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8b17920cfafa1fde1afdf3d505bc0c81.setIcon(icon_156c013f74bcc2abe83ca95afe5f5e51);\n        \n    \n            var marker_7ef06a9bc184b4c259f8f89dd66bb72b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_02c5061b4c8bbaa37570332cf50ceec8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7ef06a9bc184b4c259f8f89dd66bb72b.setIcon(icon_02c5061b4c8bbaa37570332cf50ceec8);\n        \n    \n            var marker_a68a67a66f6ce39f58c4aa653c8daba0 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_95892ebcf6e1fbf83efe23935ab389dd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_a68a67a66f6ce39f58c4aa653c8daba0.setIcon(icon_95892ebcf6e1fbf83efe23935ab389dd);\n        \n    \n            var marker_736b422562b0d584548239cb1fba74a2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f77b023766ac34a4b3b61e14e487b8d9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_736b422562b0d584548239cb1fba74a2.setIcon(icon_f77b023766ac34a4b3b61e14e487b8d9);\n        \n    \n            var marker_225fd0fa3abbe49d40b8fa77d0d966c8 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9db630f62a1adbe7ddbf0bc8f73b9a0d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_225fd0fa3abbe49d40b8fa77d0d966c8.setIcon(icon_9db630f62a1adbe7ddbf0bc8f73b9a0d);\n        \n    \n            var marker_eb18617aa78b09198a407c7286eca61e = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d1e560c7f5c49f4db07ff3ca8f1bfee0 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_eb18617aa78b09198a407c7286eca61e.setIcon(icon_d1e560c7f5c49f4db07ff3ca8f1bfee0);\n        \n    \n            var marker_edc219614be330aa51bb48c16be022fb = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_123e68a749e5df74e11a6e6ba35daed1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_edc219614be330aa51bb48c16be022fb.setIcon(icon_123e68a749e5df74e11a6e6ba35daed1);\n        \n    \n            var marker_7c27d38e87acc52b3720166a71fefb60 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_17d9ac5dca44d7ed35323230b15ea292 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c27d38e87acc52b3720166a71fefb60.setIcon(icon_17d9ac5dca44d7ed35323230b15ea292);\n        \n    \n            var marker_abcc123375dd207e869011f6614502d4 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9a54937c26a1f907a85da01ac0cd98ba = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_abcc123375dd207e869011f6614502d4.setIcon(icon_9a54937c26a1f907a85da01ac0cd98ba);\n        \n    \n            var marker_b3100f7d9d4776dc3d60d4f9f5688ca0 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_e21110e2be9a55439c17bd371a73bc9e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b3100f7d9d4776dc3d60d4f9f5688ca0.setIcon(icon_e21110e2be9a55439c17bd371a73bc9e);\n        \n    \n            var marker_6518c82bb551e2003152bf09568a2288 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_844f6e7b28eba2ebcfb33c6f51318517 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6518c82bb551e2003152bf09568a2288.setIcon(icon_844f6e7b28eba2ebcfb33c6f51318517);\n        \n    \n            var marker_0915f118ea5e9da6b20bc0729bd3806a = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_a6ce4a76f6f41458374edf5908f8be2d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0915f118ea5e9da6b20bc0729bd3806a.setIcon(icon_a6ce4a76f6f41458374edf5908f8be2d);\n        \n    \n            var marker_b601978b8b627523ae04ee06e8f8c5b2 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n  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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "*TODO:* Draw a `PolyLine` between a launch site to the selected coastline point\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "# Create a `folium.PolyLine` object using the coastline coordinates and launch site coordinate\n# lines=folium.PolyLine(locations=coordinates, weight=1)\nlines=folium.PolyLine(locations=coordinates, weight=1)\nsite_map.add_child(lines)",
      "metadata": {
        "trusted": true
      },
      "execution_count": 124,
      "outputs": [
        {
          "execution_count": 124,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<folium.folium.Map at 0x43b50d0>",
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&quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b0fba78214eb9e11c5487dfd96eeca0a.setIcon(icon_237cefd2f1f3930764210d7e6db83aea);\n        \n    \n            var marker_f256fed45eb3ea7a39395d2a9910810e = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ebdc04f44958aa3050d7ee5c5945467a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_f256fed45eb3ea7a39395d2a9910810e.setIcon(icon_ebdc04f44958aa3050d7ee5c5945467a);\n        \n    \n            var marker_dd2a44a1152605c3cb2f9cc3386e2797 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a421ce3f8be07995c2a3fdfcc8bd427 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd2a44a1152605c3cb2f9cc3386e2797.setIcon(icon_5a421ce3f8be07995c2a3fdfcc8bd427);\n        \n    \n            var marker_50c30f3884f7d110346e66c93cb97c18 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_197c3ff86652f5d0fba8926e6b1c8efb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_50c30f3884f7d110346e66c93cb97c18.setIcon(icon_197c3ff86652f5d0fba8926e6b1c8efb);\n        \n    \n            var marker_2f94368d88728bd26a2871dda411edd2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f7b3b9be66a291fc7490d2a88da5335a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_2f94368d88728bd26a2871dda411edd2.setIcon(icon_f7b3b9be66a291fc7490d2a88da5335a);\n        \n    \n            var marker_dd4f79cf6b4cf704e6ba1de7b3e00396 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_cb03ed1d67e52546246fed32b9595b49 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd4f79cf6b4cf704e6ba1de7b3e00396.setIcon(icon_cb03ed1d67e52546246fed32b9595b49);\n        \n    \n            var marker_94c8e77d4c8c64ee2cdb04de5748330b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d5d855fde5ba5196d19acfa6e2663cf2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_94c8e77d4c8c64ee2cdb04de5748330b.setIcon(icon_d5d855fde5ba5196d19acfa6e2663cf2);\n        \n    \n            var marker_1c1bc3351d2d6e50cc2ab4c65145bb48 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_092727e889decee882620fdd1207d5f3 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_1c1bc3351d2d6e50cc2ab4c65145bb48.setIcon(icon_092727e889decee882620fdd1207d5f3);\n        \n    \n            var marker_75934ccbcb5de93ec6b7f62c9f8e8c9d = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_c7775739b650bbc54a0bee3f704dcfec = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_75934ccbcb5de93ec6b7f62c9f8e8c9d.setIcon(icon_c7775739b650bbc54a0bee3f704dcfec);\n        \n    \n            var marker_0ec14c60696445354801cf8e7d0be19c = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5151a8c9304db43a5afcb45cd4c158ad = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0ec14c60696445354801cf8e7d0be19c.setIcon(icon_5151a8c9304db43a5afcb45cd4c158ad);\n        \n    \n            var marker_8b17920cfafa1fde1afdf3d505bc0c81 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_156c013f74bcc2abe83ca95afe5f5e51 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8b17920cfafa1fde1afdf3d505bc0c81.setIcon(icon_156c013f74bcc2abe83ca95afe5f5e51);\n        \n    \n            var marker_7ef06a9bc184b4c259f8f89dd66bb72b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_02c5061b4c8bbaa37570332cf50ceec8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7ef06a9bc184b4c259f8f89dd66bb72b.setIcon(icon_02c5061b4c8bbaa37570332cf50ceec8);\n        \n    \n            var marker_a68a67a66f6ce39f58c4aa653c8daba0 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_95892ebcf6e1fbf83efe23935ab389dd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_a68a67a66f6ce39f58c4aa653c8daba0.setIcon(icon_95892ebcf6e1fbf83efe23935ab389dd);\n        \n    \n            var marker_736b422562b0d584548239cb1fba74a2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f77b023766ac34a4b3b61e14e487b8d9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_736b422562b0d584548239cb1fba74a2.setIcon(icon_f77b023766ac34a4b3b61e14e487b8d9);\n        \n    \n            var marker_225fd0fa3abbe49d40b8fa77d0d966c8 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9db630f62a1adbe7ddbf0bc8f73b9a0d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_225fd0fa3abbe49d40b8fa77d0d966c8.setIcon(icon_9db630f62a1adbe7ddbf0bc8f73b9a0d);\n        \n    \n            var marker_eb18617aa78b09198a407c7286eca61e = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d1e560c7f5c49f4db07ff3ca8f1bfee0 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_eb18617aa78b09198a407c7286eca61e.setIcon(icon_d1e560c7f5c49f4db07ff3ca8f1bfee0);\n        \n    \n            var marker_edc219614be330aa51bb48c16be022fb = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_123e68a749e5df74e11a6e6ba35daed1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_edc219614be330aa51bb48c16be022fb.setIcon(icon_123e68a749e5df74e11a6e6ba35daed1);\n        \n    \n            var marker_7c27d38e87acc52b3720166a71fefb60 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_17d9ac5dca44d7ed35323230b15ea292 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c27d38e87acc52b3720166a71fefb60.setIcon(icon_17d9ac5dca44d7ed35323230b15ea292);\n        \n    \n            var marker_abcc123375dd207e869011f6614502d4 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9a54937c26a1f907a85da01ac0cd98ba = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_abcc123375dd207e869011f6614502d4.setIcon(icon_9a54937c26a1f907a85da01ac0cd98ba);\n        \n    \n            var marker_b3100f7d9d4776dc3d60d4f9f5688ca0 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_e21110e2be9a55439c17bd371a73bc9e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b3100f7d9d4776dc3d60d4f9f5688ca0.setIcon(icon_e21110e2be9a55439c17bd371a73bc9e);\n        \n    \n            var marker_6518c82bb551e2003152bf09568a2288 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_844f6e7b28eba2ebcfb33c6f51318517 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6518c82bb551e2003152bf09568a2288.setIcon(icon_844f6e7b28eba2ebcfb33c6f51318517);\n        \n    \n            var marker_0915f118ea5e9da6b20bc0729bd3806a = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_a6ce4a76f6f41458374edf5908f8be2d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0915f118ea5e9da6b20bc0729bd3806a.setIcon(icon_a6ce4a76f6f41458374edf5908f8be2d);\n        \n    \n            var marker_b601978b8b627523ae04ee06e8f8c5b2 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_64e3c80eb4a672c57972edb0cfe42306 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b601978b8b627523ae04ee06e8f8c5b2.setIcon(icon_64e3c80eb4a672c57972edb0cfe42306);\n        \n    \n            var marker_545c81e146e64f551cac1ae0609705b1 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9b61f35a0d00edd9c446d591389d552b = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_545c81e146e64f551cac1ae0609705b1.setIcon(icon_9b61f35a0d00edd9c446d591389d552b);\n        \n    \n            var marker_6aaa04e6cfece208dc95eee5fafef428 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a3f2d690797b8e449a432ea3fb786df = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6aaa04e6cfece208dc95eee5fafef428.setIcon(icon_5a3f2d690797b8e449a432ea3fb786df);\n        \n    \n            var marker_d5918e3d7c4b0e6901efeeddbdcbfe3c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_bb2fb2f81c189e553892255c5c9402a1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_d5918e3d7c4b0e6901efeeddbdcbfe3c.setIcon(icon_bb2fb2f81c189e553892255c5c9402a1);\n        \n    \n            var marker_80eb1bd5b08f8d5d0367af8bb0203855 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_047403db7d8ac6fa2bcd77fdc20307b2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_80eb1bd5b08f8d5d0367af8bb0203855.setIcon(icon_047403db7d8ac6fa2bcd77fdc20307b2);\n        \n    \n            var marker_3a7a8e5b65ed39047acea13a033aac3a = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3318fe2f23c0e9ad001f5da3a120685c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_3a7a8e5b65ed39047acea13a033aac3a.setIcon(icon_3318fe2f23c0e9ad001f5da3a120685c);\n        \n    \n            var marker_234f7098bc64307668f0c140280efacb = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_22a2cd5d351de6f14a4b4f5146e90170 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_234f7098bc64307668f0c140280efacb.setIcon(icon_22a2cd5d351de6f14a4b4f5146e90170);\n        \n    \n            var marker_886a3619670f774658e191b070bd7b06 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5694bc2004bffa40402a4f579306f03a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_886a3619670f774658e191b070bd7b06.setIcon(icon_5694bc2004bffa40402a4f579306f03a);\n        \n    \n            var marker_8cb88aaa386756caa4745f8f34edbb2d = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ed01465cd062a47d9b3796a719bf901f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8cb88aaa386756caa4745f8f34edbb2d.setIcon(icon_ed01465cd062a47d9b3796a719bf901f);\n        \n    \n            var marker_18b96d31e3b6e083e1859556c843ea2c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_19378f0296a44b50915b2319a38c892f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_18b96d31e3b6e083e1859556c843ea2c.setIcon(icon_19378f0296a44b50915b2319a38c892f);\n        \n    \n            var marker_54319085f09fab6bd15f55c3987babbf = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_60634386f6c651e36acd74bceb4cbcdb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_54319085f09fab6bd15f55c3987babbf.setIcon(icon_60634386f6c651e36acd74bceb4cbcdb);\n        \n    \n            var marker_8841612cad6d63a36d2696270205f89b = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_45c08322814f29f7e90f4f4066d04a03 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8841612cad6d63a36d2696270205f89b.setIcon(icon_45c08322814f29f7e90f4f4066d04a03);\n        \n    \n            var marker_e2526b953a5e18a6fc301ab04b78d5df = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5642a40d9bae920fed45c4bfadfd2c0f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_e2526b953a5e18a6fc301ab04b78d5df.setIcon(icon_5642a40d9bae920fed45c4bfadfd2c0f);\n        \n    \n            var marker_6e259e20b3b2c7fe6a4c683d7c33fa7d = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9e2c02f812c1bc23668c4456ac136398 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6e259e20b3b2c7fe6a4c683d7c33fa7d.setIcon(icon_9e2c02f812c1bc23668c4456ac136398);\n        \n    \n            var marker_089e867689e9be4914a0c337a764b0fc = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_fcdd6976c75bc8125424b6c80b9edcd7 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_089e867689e9be4914a0c337a764b0fc.setIcon(icon_fcdd6976c75bc8125424b6c80b9edcd7);\n        \n    \n            var marker_8548f52def74b608b84a55bd9fc09618 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_6b0e87f2c859feed13c5ddd40f5a013e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8548f52def74b608b84a55bd9fc09618.setIcon(icon_6b0e87f2c859feed13c5ddd40f5a013e);\n        \n    \n            var marker_58907bc6cf71e2a675d11610115cf062 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_286f791ac1705f859ed597467044b57c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_58907bc6cf71e2a675d11610115cf062.setIcon(icon_286f791ac1705f859ed597467044b57c);\n        \n    \n            var marker_7c360060a359774247f35ab67cb923af = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_817767820dddd854f5e2238ac16dc714 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c360060a359774247f35ab67cb923af.setIcon(icon_817767820dddd854f5e2238ac16dc714);\n        \n    \n            var marker_43fd4c66671092a4859e54fe82a8df4e = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_b1b263f76fe8f781bc44c759e8ee70fd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_43fd4c66671092a4859e54fe82a8df4e.setIcon(icon_b1b263f76fe8f781bc44c759e8ee70fd);\n        \n    \n            var marker_7cc74830928518911085ab86d02a3910 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7cc74830928518911085ab86d02a3910.setIcon(icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9);\n        \n    \n            var marker_6f9a2c9c6b7282460a0b7057467250c9 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_82ab9aaac922e9acd57c1f0371eb7145 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6f9a2c9c6b7282460a0b7057467250c9.setIcon(icon_82ab9aaac922e9acd57c1f0371eb7145);\n        \n    \n            var marker_522d2064e2cc4f9e65720356f198e8ba = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f0f07d8c2befe0487cc430a72d3ea1a5 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_522d2064e2cc4f9e65720356f198e8ba.setIcon(icon_f0f07d8c2befe0487cc430a72d3ea1a5);\n        \n    \n            var marker_968637325e41c04b5930a53b9265e125 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d8e4b663fd2ed5a7a4290054661928f4 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_968637325e41c04b5930a53b9265e125.setIcon(icon_d8e4b663fd2ed5a7a4290054661928f4);\n        \n    \n            var mouse_position_a12f475ec30763027bf3d20c35487696 = new L.Control.MousePosition(\n                {&quot;emptyString&quot;: &quot;NaN&quot;, &quot;lngFirst&quot;: false, &quot;numDigits&quot;: 20, &quot;position&quot;: &quot;topright&quot;, &quot;prefix&quot;: &quot;Lat:&quot;, &quot;separator&quot;: &quot; Long: &quot;}\n            );\n            mouse_position_a12f475ec30763027bf3d20c35487696.options[&quot;latFormatter&quot;] =\n                function(num) {return L.Util.formatNum(num, 5);};;\n            mouse_position_a12f475ec30763027bf3d20c35487696.options[&quot;lngFormatter&quot;] =\n                function(num) {return L.Util.formatNum(num, 5);};;\n            map_e6e224e2ffd224e16eb8684de0c1d5ff.addControl(mouse_position_a12f475ec30763027bf3d20c35487696);\n        \n    \n            var marker_9f5052d458ca4528199dabc3565e3af4 = L.marker(\n                [28.56342, -80.56794],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_113bde1c5870c7865c03d7ea90ccc669 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003e      0.86 KM\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_9f5052d458ca4528199dabc3565e3af4.setIcon(div_icon_113bde1c5870c7865c03d7ea90ccc669);\n        \n    \n            var poly_line_fd3272272d5f815bda9269c81ba2ada4 = L.polyline(\n                [[28.56342, -80.57674], [28.56342, -80.56794]],\n                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: false, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;noClip&quot;: false, &quot;opacity&quot;: 1.0, &quot;smoothFactor&quot;: 1.0, &quot;stroke&quot;: true, &quot;weight&quot;: 1}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n&lt;/script&gt;\n&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": "Your updated map with distance line should look like the following screenshot:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "![launch_site_marker_distance.png](attachment:bc1fdb1f-8304-4c4c-b6d3-adc4342548d3.png)<center>\n    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_3/images/launch_site_marker_distance.png\">\n</center>\n",
      "metadata": {
        "trusted": true
      },
      "attachments": {
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"
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "*TODO:* Similarly, you can draw a line betwee a launch site to its closest city, railway, highway, etc. You need to use `MousePosition` to find the their coordinates on the map first\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "A railway map symbol may look like this:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "<center>\n    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_3/images/railway.png\">\n</center>\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "A highway map symbol may look like this:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "<center>\n    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_3/images/highway.png\">\n</center>\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "A city map symbol may look like this:\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "<center>\n    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_3/images/city.png\">\n</center>\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "### Create a marker with distance to a closest city, railway, highway, etc.\n### Draw a line between the marker to the launch site",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "code",
      "source": "#Distance to Melbourne\ncoordinates = [\n    [28.56342, -80.57674],\n    [28.11182, -80.6343]]\n\nlines=folium.PolyLine(locations=coordinates, weight=1)\nsite_map.add_child(lines)\ndistance = calculate_distance(coordinates[0][0], coordinates[0][1], coordinates[1][0], coordinates[1][1])\ndistance_circle = folium.Marker(\n    [28.11167, -80.63594],\n    icon=DivIcon(\n        icon_size=(20,20),\n        icon_anchor=(0,0),\n        html='<div style=\"font-size: 12; color:#252526;\"><b>%s</b></div>' % \"{:10.2f} KM\".format(distance),\n        )\n    )\nsite_map.add_child(distance_circle)\nsite_map",
      "metadata": {
        "trusted": true
      },
      "execution_count": 125,
      "outputs": [
        {
          "execution_count": 125,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<folium.folium.Map at 0x43b50d0>",
            "text/html": "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n&lt;html&gt;\n&lt;head&gt;\n    \n    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n    \n        &lt;script&gt;\n            L_NO_TOUCH = false;\n            L_DISABLE_3D = false;\n        &lt;/script&gt;\n    \n    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n    \n            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n            &lt;style&gt;\n                #map_e6e224e2ffd224e16eb8684de0c1d5ff {\n                    position: relative;\n                    width: 100.0%;\n                    height: 100.0%;\n                    left: 0.0%;\n                    top: 0.0%;\n                }\n                .leaflet-container { font-size: 1rem; }\n            &lt;/style&gt;\n        \n    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/leaflet.markercluster.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.Default.css&quot;/&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/gh/ardhi/Leaflet.MousePosition/src/L.Control.MousePosition.min.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/ardhi/Leaflet.MousePosition/src/L.Control.MousePosition.min.css&quot;/&gt;\n&lt;/head&gt;\n&lt;body&gt;\n    \n    \n            &lt;div class=&quot;folium-map&quot; id=&quot;map_e6e224e2ffd224e16eb8684de0c1d5ff&quot; &gt;&lt;/div&gt;\n        \n&lt;/body&gt;\n&lt;script&gt;\n    \n    \n            var map_e6e224e2ffd224e16eb8684de0c1d5ff = L.map(\n                &quot;map_e6e224e2ffd224e16eb8684de0c1d5ff&quot;,\n                {\n                    center: [29.559684888503615, -95.0830971930759],\n                    crs: L.CRS.EPSG3857,\n                    zoom: 5,\n                    zoomControl: true,\n                 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marker_b9170ac262b1632bc7fe8ec235f74152 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0a5f3f600d207215bdeed17b85260018 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b9170ac262b1632bc7fe8ec235f74152.setIcon(icon_0a5f3f600d207215bdeed17b85260018);\n        \n    \n            var marker_b0fba78214eb9e11c5487dfd96eeca0a = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_237cefd2f1f3930764210d7e6db83aea = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b0fba78214eb9e11c5487dfd96eeca0a.setIcon(icon_237cefd2f1f3930764210d7e6db83aea);\n        \n    \n            var marker_f256fed45eb3ea7a39395d2a9910810e = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ebdc04f44958aa3050d7ee5c5945467a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_f256fed45eb3ea7a39395d2a9910810e.setIcon(icon_ebdc04f44958aa3050d7ee5c5945467a);\n        \n    \n            var marker_dd2a44a1152605c3cb2f9cc3386e2797 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a421ce3f8be07995c2a3fdfcc8bd427 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd2a44a1152605c3cb2f9cc3386e2797.setIcon(icon_5a421ce3f8be07995c2a3fdfcc8bd427);\n        \n    \n            var marker_50c30f3884f7d110346e66c93cb97c18 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_197c3ff86652f5d0fba8926e6b1c8efb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_50c30f3884f7d110346e66c93cb97c18.setIcon(icon_197c3ff86652f5d0fba8926e6b1c8efb);\n        \n    \n            var marker_2f94368d88728bd26a2871dda411edd2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f7b3b9be66a291fc7490d2a88da5335a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_2f94368d88728bd26a2871dda411edd2.setIcon(icon_f7b3b9be66a291fc7490d2a88da5335a);\n        \n    \n            var marker_dd4f79cf6b4cf704e6ba1de7b3e00396 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_cb03ed1d67e52546246fed32b9595b49 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd4f79cf6b4cf704e6ba1de7b3e00396.setIcon(icon_cb03ed1d67e52546246fed32b9595b49);\n        \n    \n            var marker_94c8e77d4c8c64ee2cdb04de5748330b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d5d855fde5ba5196d19acfa6e2663cf2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_94c8e77d4c8c64ee2cdb04de5748330b.setIcon(icon_d5d855fde5ba5196d19acfa6e2663cf2);\n        \n    \n            var marker_1c1bc3351d2d6e50cc2ab4c65145bb48 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_092727e889decee882620fdd1207d5f3 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_1c1bc3351d2d6e50cc2ab4c65145bb48.setIcon(icon_092727e889decee882620fdd1207d5f3);\n        \n    \n            var marker_75934ccbcb5de93ec6b7f62c9f8e8c9d = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_c7775739b650bbc54a0bee3f704dcfec = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_75934ccbcb5de93ec6b7f62c9f8e8c9d.setIcon(icon_c7775739b650bbc54a0bee3f704dcfec);\n        \n    \n            var marker_0ec14c60696445354801cf8e7d0be19c = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5151a8c9304db43a5afcb45cd4c158ad = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0ec14c60696445354801cf8e7d0be19c.setIcon(icon_5151a8c9304db43a5afcb45cd4c158ad);\n        \n    \n            var marker_8b17920cfafa1fde1afdf3d505bc0c81 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_156c013f74bcc2abe83ca95afe5f5e51 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8b17920cfafa1fde1afdf3d505bc0c81.setIcon(icon_156c013f74bcc2abe83ca95afe5f5e51);\n        \n    \n            var marker_7ef06a9bc184b4c259f8f89dd66bb72b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_02c5061b4c8bbaa37570332cf50ceec8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7ef06a9bc184b4c259f8f89dd66bb72b.setIcon(icon_02c5061b4c8bbaa37570332cf50ceec8);\n        \n    \n            var marker_a68a67a66f6ce39f58c4aa653c8daba0 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_95892ebcf6e1fbf83efe23935ab389dd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_a68a67a66f6ce39f58c4aa653c8daba0.setIcon(icon_95892ebcf6e1fbf83efe23935ab389dd);\n        \n    \n            var marker_736b422562b0d584548239cb1fba74a2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f77b023766ac34a4b3b61e14e487b8d9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_736b422562b0d584548239cb1fba74a2.setIcon(icon_f77b023766ac34a4b3b61e14e487b8d9);\n        \n    \n            var marker_225fd0fa3abbe49d40b8fa77d0d966c8 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9db630f62a1adbe7ddbf0bc8f73b9a0d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_225fd0fa3abbe49d40b8fa77d0d966c8.setIcon(icon_9db630f62a1adbe7ddbf0bc8f73b9a0d);\n        \n    \n            var marker_eb18617aa78b09198a407c7286eca61e = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d1e560c7f5c49f4db07ff3ca8f1bfee0 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_eb18617aa78b09198a407c7286eca61e.setIcon(icon_d1e560c7f5c49f4db07ff3ca8f1bfee0);\n        \n    \n            var marker_edc219614be330aa51bb48c16be022fb = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_123e68a749e5df74e11a6e6ba35daed1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_edc219614be330aa51bb48c16be022fb.setIcon(icon_123e68a749e5df74e11a6e6ba35daed1);\n        \n    \n            var marker_7c27d38e87acc52b3720166a71fefb60 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_17d9ac5dca44d7ed35323230b15ea292 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c27d38e87acc52b3720166a71fefb60.setIcon(icon_17d9ac5dca44d7ed35323230b15ea292);\n        \n    \n            var marker_abcc123375dd207e869011f6614502d4 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9a54937c26a1f907a85da01ac0cd98ba = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_abcc123375dd207e869011f6614502d4.setIcon(icon_9a54937c26a1f907a85da01ac0cd98ba);\n        \n    \n            var marker_b3100f7d9d4776dc3d60d4f9f5688ca0 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_e21110e2be9a55439c17bd371a73bc9e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b3100f7d9d4776dc3d60d4f9f5688ca0.setIcon(icon_e21110e2be9a55439c17bd371a73bc9e);\n        \n    \n            var marker_6518c82bb551e2003152bf09568a2288 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_844f6e7b28eba2ebcfb33c6f51318517 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6518c82bb551e2003152bf09568a2288.setIcon(icon_844f6e7b28eba2ebcfb33c6f51318517);\n        \n    \n            var marker_0915f118ea5e9da6b20bc0729bd3806a = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_a6ce4a76f6f41458374edf5908f8be2d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0915f118ea5e9da6b20bc0729bd3806a.setIcon(icon_a6ce4a76f6f41458374edf5908f8be2d);\n        \n    \n            var marker_b601978b8b627523ae04ee06e8f8c5b2 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_64e3c80eb4a672c57972edb0cfe42306 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b601978b8b627523ae04ee06e8f8c5b2.setIcon(icon_64e3c80eb4a672c57972edb0cfe42306);\n        \n    \n            var marker_545c81e146e64f551cac1ae0609705b1 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9b61f35a0d00edd9c446d591389d552b = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_545c81e146e64f551cac1ae0609705b1.setIcon(icon_9b61f35a0d00edd9c446d591389d552b);\n        \n    \n            var marker_6aaa04e6cfece208dc95eee5fafef428 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a3f2d690797b8e449a432ea3fb786df = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6aaa04e6cfece208dc95eee5fafef428.setIcon(icon_5a3f2d690797b8e449a432ea3fb786df);\n        \n    \n            var marker_d5918e3d7c4b0e6901efeeddbdcbfe3c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n  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&quot;glyphicon&quot;}\n            );\n            marker_80eb1bd5b08f8d5d0367af8bb0203855.setIcon(icon_047403db7d8ac6fa2bcd77fdc20307b2);\n        \n    \n            var marker_3a7a8e5b65ed39047acea13a033aac3a = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3318fe2f23c0e9ad001f5da3a120685c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_3a7a8e5b65ed39047acea13a033aac3a.setIcon(icon_3318fe2f23c0e9ad001f5da3a120685c);\n        \n    \n            var marker_234f7098bc64307668f0c140280efacb = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            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&quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_54319085f09fab6bd15f55c3987babbf.setIcon(icon_60634386f6c651e36acd74bceb4cbcdb);\n        \n    \n            var marker_8841612cad6d63a36d2696270205f89b = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_45c08322814f29f7e90f4f4066d04a03 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8841612cad6d63a36d2696270205f89b.setIcon(icon_45c08322814f29f7e90f4f4066d04a03);\n        \n    \n            var marker_e2526b953a5e18a6fc301ab04b78d5df = 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{&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_58907bc6cf71e2a675d11610115cf062.setIcon(icon_286f791ac1705f859ed597467044b57c);\n        \n    \n            var marker_7c360060a359774247f35ab67cb923af = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_817767820dddd854f5e2238ac16dc714 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            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function(num) {return L.Util.formatNum(num, 5);};;\n            mouse_position_a12f475ec30763027bf3d20c35487696.options[&quot;lngFormatter&quot;] =\n                function(num) {return L.Util.formatNum(num, 5);};;\n            map_e6e224e2ffd224e16eb8684de0c1d5ff.addControl(mouse_position_a12f475ec30763027bf3d20c35487696);\n        \n    \n            var marker_9f5052d458ca4528199dabc3565e3af4 = L.marker(\n                [28.56342, -80.56794],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_113bde1c5870c7865c03d7ea90ccc669 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003e      0.86 KM\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_9f5052d458ca4528199dabc3565e3af4.setIcon(div_icon_113bde1c5870c7865c03d7ea90ccc669);\n    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null, &quot;dashOffset&quot;: null, &quot;fill&quot;: false, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;noClip&quot;: false, &quot;opacity&quot;: 1.0, &quot;smoothFactor&quot;: 1.0, &quot;stroke&quot;: true, &quot;weight&quot;: 1}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var marker_de72d150c1aeee03fcfcca21605bc333 = L.marker(\n                [28.11167, -80.63594],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_a1f70b59c44f95ae68ea6aef9478f510 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#252526;\\&quot;\\u003e\\u003cb\\u003e     50.55 KM\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_de72d150c1aeee03fcfcca21605bc333.setIcon(div_icon_a1f70b59c44f95ae68ea6aef9478f510);\n        \n&lt;/script&gt;\n&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": "#Distance to closest Railway\ncoordinates = [\n    [28.56342, -80.57674],\n    [28.575, -80.58515]]\n\nlines=folium.PolyLine(locations=coordinates, weight=1)\nsite_map.add_child(lines)\ndistance = calculate_distance(coordinates[0][0], coordinates[0][1], coordinates[1][0], coordinates[1][1])\ndistance_circle = folium.Marker(\n    [28.575, -80.58512],\n    icon=DivIcon(\n        icon_size=(20,20),\n        icon_anchor=(0,0),\n        html='<div style=\"font-size: 12; color:#252526;\"><b>%s</b></div>' % \"{:10.2f} KM\".format(distance),\n        )\n    )\nsite_map.add_child(distance_circle)\nsite_map",
      "metadata": {
        "trusted": true
      },
      "execution_count": 126,
      "outputs": [
        {
          "execution_count": 126,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<folium.folium.Map at 0x43b50d0>",
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marker_b9170ac262b1632bc7fe8ec235f74152 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0a5f3f600d207215bdeed17b85260018 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b9170ac262b1632bc7fe8ec235f74152.setIcon(icon_0a5f3f600d207215bdeed17b85260018);\n        \n    \n            var marker_b0fba78214eb9e11c5487dfd96eeca0a = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_237cefd2f1f3930764210d7e6db83aea = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b0fba78214eb9e11c5487dfd96eeca0a.setIcon(icon_237cefd2f1f3930764210d7e6db83aea);\n        \n    \n            var marker_f256fed45eb3ea7a39395d2a9910810e = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ebdc04f44958aa3050d7ee5c5945467a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_f256fed45eb3ea7a39395d2a9910810e.setIcon(icon_ebdc04f44958aa3050d7ee5c5945467a);\n        \n    \n            var marker_dd2a44a1152605c3cb2f9cc3386e2797 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a421ce3f8be07995c2a3fdfcc8bd427 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd2a44a1152605c3cb2f9cc3386e2797.setIcon(icon_5a421ce3f8be07995c2a3fdfcc8bd427);\n        \n    \n            var marker_50c30f3884f7d110346e66c93cb97c18 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_197c3ff86652f5d0fba8926e6b1c8efb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_50c30f3884f7d110346e66c93cb97c18.setIcon(icon_197c3ff86652f5d0fba8926e6b1c8efb);\n        \n    \n            var marker_2f94368d88728bd26a2871dda411edd2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f7b3b9be66a291fc7490d2a88da5335a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_2f94368d88728bd26a2871dda411edd2.setIcon(icon_f7b3b9be66a291fc7490d2a88da5335a);\n        \n    \n            var marker_dd4f79cf6b4cf704e6ba1de7b3e00396 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_cb03ed1d67e52546246fed32b9595b49 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd4f79cf6b4cf704e6ba1de7b3e00396.setIcon(icon_cb03ed1d67e52546246fed32b9595b49);\n        \n    \n            var marker_94c8e77d4c8c64ee2cdb04de5748330b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d5d855fde5ba5196d19acfa6e2663cf2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_94c8e77d4c8c64ee2cdb04de5748330b.setIcon(icon_d5d855fde5ba5196d19acfa6e2663cf2);\n        \n    \n            var marker_1c1bc3351d2d6e50cc2ab4c65145bb48 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_092727e889decee882620fdd1207d5f3 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_1c1bc3351d2d6e50cc2ab4c65145bb48.setIcon(icon_092727e889decee882620fdd1207d5f3);\n        \n    \n            var marker_75934ccbcb5de93ec6b7f62c9f8e8c9d = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_c7775739b650bbc54a0bee3f704dcfec = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_75934ccbcb5de93ec6b7f62c9f8e8c9d.setIcon(icon_c7775739b650bbc54a0bee3f704dcfec);\n        \n    \n            var marker_0ec14c60696445354801cf8e7d0be19c = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5151a8c9304db43a5afcb45cd4c158ad = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0ec14c60696445354801cf8e7d0be19c.setIcon(icon_5151a8c9304db43a5afcb45cd4c158ad);\n        \n    \n            var marker_8b17920cfafa1fde1afdf3d505bc0c81 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_156c013f74bcc2abe83ca95afe5f5e51 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8b17920cfafa1fde1afdf3d505bc0c81.setIcon(icon_156c013f74bcc2abe83ca95afe5f5e51);\n        \n    \n            var marker_7ef06a9bc184b4c259f8f89dd66bb72b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_02c5061b4c8bbaa37570332cf50ceec8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7ef06a9bc184b4c259f8f89dd66bb72b.setIcon(icon_02c5061b4c8bbaa37570332cf50ceec8);\n        \n    \n            var marker_a68a67a66f6ce39f58c4aa653c8daba0 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_95892ebcf6e1fbf83efe23935ab389dd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_a68a67a66f6ce39f58c4aa653c8daba0.setIcon(icon_95892ebcf6e1fbf83efe23935ab389dd);\n        \n    \n            var marker_736b422562b0d584548239cb1fba74a2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f77b023766ac34a4b3b61e14e487b8d9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_736b422562b0d584548239cb1fba74a2.setIcon(icon_f77b023766ac34a4b3b61e14e487b8d9);\n        \n    \n            var marker_225fd0fa3abbe49d40b8fa77d0d966c8 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9db630f62a1adbe7ddbf0bc8f73b9a0d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_225fd0fa3abbe49d40b8fa77d0d966c8.setIcon(icon_9db630f62a1adbe7ddbf0bc8f73b9a0d);\n        \n    \n            var marker_eb18617aa78b09198a407c7286eca61e = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d1e560c7f5c49f4db07ff3ca8f1bfee0 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_eb18617aa78b09198a407c7286eca61e.setIcon(icon_d1e560c7f5c49f4db07ff3ca8f1bfee0);\n        \n    \n            var marker_edc219614be330aa51bb48c16be022fb = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_123e68a749e5df74e11a6e6ba35daed1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_edc219614be330aa51bb48c16be022fb.setIcon(icon_123e68a749e5df74e11a6e6ba35daed1);\n        \n    \n            var marker_7c27d38e87acc52b3720166a71fefb60 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_17d9ac5dca44d7ed35323230b15ea292 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c27d38e87acc52b3720166a71fefb60.setIcon(icon_17d9ac5dca44d7ed35323230b15ea292);\n        \n    \n            var marker_abcc123375dd207e869011f6614502d4 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9a54937c26a1f907a85da01ac0cd98ba = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_abcc123375dd207e869011f6614502d4.setIcon(icon_9a54937c26a1f907a85da01ac0cd98ba);\n        \n    \n            var marker_b3100f7d9d4776dc3d60d4f9f5688ca0 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_e21110e2be9a55439c17bd371a73bc9e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b3100f7d9d4776dc3d60d4f9f5688ca0.setIcon(icon_e21110e2be9a55439c17bd371a73bc9e);\n        \n    \n            var marker_6518c82bb551e2003152bf09568a2288 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_844f6e7b28eba2ebcfb33c6f51318517 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6518c82bb551e2003152bf09568a2288.setIcon(icon_844f6e7b28eba2ebcfb33c6f51318517);\n        \n    \n            var marker_0915f118ea5e9da6b20bc0729bd3806a = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_a6ce4a76f6f41458374edf5908f8be2d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0915f118ea5e9da6b20bc0729bd3806a.setIcon(icon_a6ce4a76f6f41458374edf5908f8be2d);\n        \n    \n            var marker_b601978b8b627523ae04ee06e8f8c5b2 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_64e3c80eb4a672c57972edb0cfe42306 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b601978b8b627523ae04ee06e8f8c5b2.setIcon(icon_64e3c80eb4a672c57972edb0cfe42306);\n        \n    \n            var marker_545c81e146e64f551cac1ae0609705b1 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9b61f35a0d00edd9c446d591389d552b = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_545c81e146e64f551cac1ae0609705b1.setIcon(icon_9b61f35a0d00edd9c446d591389d552b);\n        \n    \n            var marker_6aaa04e6cfece208dc95eee5fafef428 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a3f2d690797b8e449a432ea3fb786df = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6aaa04e6cfece208dc95eee5fafef428.setIcon(icon_5a3f2d690797b8e449a432ea3fb786df);\n        \n    \n            var marker_d5918e3d7c4b0e6901efeeddbdcbfe3c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_bb2fb2f81c189e553892255c5c9402a1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_d5918e3d7c4b0e6901efeeddbdcbfe3c.setIcon(icon_bb2fb2f81c189e553892255c5c9402a1);\n        \n    \n            var marker_80eb1bd5b08f8d5d0367af8bb0203855 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_047403db7d8ac6fa2bcd77fdc20307b2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_80eb1bd5b08f8d5d0367af8bb0203855.setIcon(icon_047403db7d8ac6fa2bcd77fdc20307b2);\n        \n    \n            var marker_3a7a8e5b65ed39047acea13a033aac3a = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3318fe2f23c0e9ad001f5da3a120685c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_3a7a8e5b65ed39047acea13a033aac3a.setIcon(icon_3318fe2f23c0e9ad001f5da3a120685c);\n        \n    \n            var marker_234f7098bc64307668f0c140280efacb = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_22a2cd5d351de6f14a4b4f5146e90170 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_234f7098bc64307668f0c140280efacb.setIcon(icon_22a2cd5d351de6f14a4b4f5146e90170);\n        \n    \n            var marker_886a3619670f774658e191b070bd7b06 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5694bc2004bffa40402a4f579306f03a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_886a3619670f774658e191b070bd7b06.setIcon(icon_5694bc2004bffa40402a4f579306f03a);\n        \n    \n            var marker_8cb88aaa386756caa4745f8f34edbb2d = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ed01465cd062a47d9b3796a719bf901f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8cb88aaa386756caa4745f8f34edbb2d.setIcon(icon_ed01465cd062a47d9b3796a719bf901f);\n        \n    \n            var marker_18b96d31e3b6e083e1859556c843ea2c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_19378f0296a44b50915b2319a38c892f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_18b96d31e3b6e083e1859556c843ea2c.setIcon(icon_19378f0296a44b50915b2319a38c892f);\n        \n    \n            var marker_54319085f09fab6bd15f55c3987babbf = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_60634386f6c651e36acd74bceb4cbcdb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_54319085f09fab6bd15f55c3987babbf.setIcon(icon_60634386f6c651e36acd74bceb4cbcdb);\n        \n    \n            var marker_8841612cad6d63a36d2696270205f89b = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_45c08322814f29f7e90f4f4066d04a03 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8841612cad6d63a36d2696270205f89b.setIcon(icon_45c08322814f29f7e90f4f4066d04a03);\n        \n    \n            var marker_e2526b953a5e18a6fc301ab04b78d5df = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5642a40d9bae920fed45c4bfadfd2c0f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_e2526b953a5e18a6fc301ab04b78d5df.setIcon(icon_5642a40d9bae920fed45c4bfadfd2c0f);\n        \n    \n            var marker_6e259e20b3b2c7fe6a4c683d7c33fa7d = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9e2c02f812c1bc23668c4456ac136398 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6e259e20b3b2c7fe6a4c683d7c33fa7d.setIcon(icon_9e2c02f812c1bc23668c4456ac136398);\n        \n    \n            var marker_089e867689e9be4914a0c337a764b0fc = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_fcdd6976c75bc8125424b6c80b9edcd7 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_089e867689e9be4914a0c337a764b0fc.setIcon(icon_fcdd6976c75bc8125424b6c80b9edcd7);\n        \n    \n            var marker_8548f52def74b608b84a55bd9fc09618 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_6b0e87f2c859feed13c5ddd40f5a013e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8548f52def74b608b84a55bd9fc09618.setIcon(icon_6b0e87f2c859feed13c5ddd40f5a013e);\n        \n    \n            var marker_58907bc6cf71e2a675d11610115cf062 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_286f791ac1705f859ed597467044b57c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_58907bc6cf71e2a675d11610115cf062.setIcon(icon_286f791ac1705f859ed597467044b57c);\n        \n    \n            var marker_7c360060a359774247f35ab67cb923af = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_817767820dddd854f5e2238ac16dc714 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c360060a359774247f35ab67cb923af.setIcon(icon_817767820dddd854f5e2238ac16dc714);\n        \n    \n            var marker_43fd4c66671092a4859e54fe82a8df4e = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_b1b263f76fe8f781bc44c759e8ee70fd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_43fd4c66671092a4859e54fe82a8df4e.setIcon(icon_b1b263f76fe8f781bc44c759e8ee70fd);\n        \n    \n            var marker_7cc74830928518911085ab86d02a3910 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7cc74830928518911085ab86d02a3910.setIcon(icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9);\n        \n    \n            var marker_6f9a2c9c6b7282460a0b7057467250c9 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_82ab9aaac922e9acd57c1f0371eb7145 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6f9a2c9c6b7282460a0b7057467250c9.setIcon(icon_82ab9aaac922e9acd57c1f0371eb7145);\n        \n    \n            var marker_522d2064e2cc4f9e65720356f198e8ba = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f0f07d8c2befe0487cc430a72d3ea1a5 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_522d2064e2cc4f9e65720356f198e8ba.setIcon(icon_f0f07d8c2befe0487cc430a72d3ea1a5);\n        \n    \n            var marker_968637325e41c04b5930a53b9265e125 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d8e4b663fd2ed5a7a4290054661928f4 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_968637325e41c04b5930a53b9265e125.setIcon(icon_d8e4b663fd2ed5a7a4290054661928f4);\n        \n    \n            var mouse_position_a12f475ec30763027bf3d20c35487696 = new L.Control.MousePosition(\n                {&quot;emptyString&quot;: &quot;NaN&quot;, &quot;lngFirst&quot;: false, &quot;numDigits&quot;: 20, &quot;position&quot;: &quot;topright&quot;, &quot;prefix&quot;: &quot;Lat:&quot;, &quot;separator&quot;: &quot; Long: &quot;}\n            );\n            mouse_position_a12f475ec30763027bf3d20c35487696.options[&quot;latFormatter&quot;] =\n                function(num) {return L.Util.formatNum(num, 5);};;\n            mouse_position_a12f475ec30763027bf3d20c35487696.options[&quot;lngFormatter&quot;] =\n                function(num) {return L.Util.formatNum(num, 5);};;\n            map_e6e224e2ffd224e16eb8684de0c1d5ff.addControl(mouse_position_a12f475ec30763027bf3d20c35487696);\n        \n    \n            var marker_9f5052d458ca4528199dabc3565e3af4 = L.marker(\n                [28.56342, -80.56794],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_113bde1c5870c7865c03d7ea90ccc669 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003e      0.86 KM\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_9f5052d458ca4528199dabc3565e3af4.setIcon(div_icon_113bde1c5870c7865c03d7ea90ccc669);\n        \n    \n            var poly_line_fd3272272d5f815bda9269c81ba2ada4 = L.polyline(\n                [[28.56342, -80.57674], [28.56342, -80.56794]],\n                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: false, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;noClip&quot;: false, &quot;opacity&quot;: 1.0, &quot;smoothFactor&quot;: 1.0, &quot;stroke&quot;: true, &quot;weight&quot;: 1}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var poly_line_4118ffb0c3e6a14ed8666ed781e9a2cf = L.polyline(\n                [[28.56342, -80.57674], [28.11182, -80.6343]],\n                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: false, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;noClip&quot;: false, &quot;opacity&quot;: 1.0, &quot;smoothFactor&quot;: 1.0, &quot;stroke&quot;: true, &quot;weight&quot;: 1}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var marker_de72d150c1aeee03fcfcca21605bc333 = L.marker(\n                [28.11167, -80.63594],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_a1f70b59c44f95ae68ea6aef9478f510 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#252526;\\&quot;\\u003e\\u003cb\\u003e     50.55 KM\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_de72d150c1aeee03fcfcca21605bc333.setIcon(div_icon_a1f70b59c44f95ae68ea6aef9478f510);\n        \n    \n            var poly_line_f40addeb85581c5b408174f3d6f9dd57 = L.polyline(\n                [[28.56342, -80.57674], [28.575, -80.58515]],\n                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: false, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;noClip&quot;: false, &quot;opacity&quot;: 1.0, &quot;smoothFactor&quot;: 1.0, &quot;stroke&quot;: true, &quot;weight&quot;: 1}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var marker_f144b0bd8310ea4fb57aa35a72947452 = L.marker(\n                [28.575, -80.58512],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_d4bc6457af27cfbd986c5ad6c556f73c = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#252526;\\&quot;\\u003e\\u003cb\\u003e      1.53 KM\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_f144b0bd8310ea4fb57aa35a72947452.setIcon(div_icon_d4bc6457af27cfbd986c5ad6c556f73c);\n        \n&lt;/script&gt;\n&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": "#Distance to closest Highway\ncoordinates = [\n    [28.56342, -80.57674],\n    [28.56593, -80.57126]]\n\nlines=folium.PolyLine(locations=coordinates, weight=1)\nsite_map.add_child(lines)\ndistance = calculate_distance(coordinates[0][0], coordinates[0][1], coordinates[1][0], coordinates[1][1])\ndistance_circle = folium.Marker(\n    [28.56593, -80.57114],\n    icon=DivIcon(\n        icon_size=(20,20),\n        icon_anchor=(0,0),\n        html='<div style=\"font-size: 12; color:#252526;\"><b>%s</b></div>' % \"{:10.2f} KM\".format(distance),\n        )\n    )\nsite_map.add_child(distance_circle)\nsite_map",
      "metadata": {
        "trusted": true
      },
      "execution_count": 127,
      "outputs": [
        {
          "execution_count": 127,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<folium.folium.Map at 0x43b50d0>",
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src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n    \n            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n            &lt;style&gt;\n                #map_e6e224e2ffd224e16eb8684de0c1d5ff {\n                    position: relative;\n                    width: 100.0%;\n                    height: 100.0%;\n                    left: 0.0%;\n                    top: 0.0%;\n                }\n                .leaflet-container { font-size: 1rem; }\n            &lt;/style&gt;\n        \n    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/leaflet.markercluster.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.css&quot;/&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.Default.css&quot;/&gt;\n    &lt;script src=&quot;https://cdn.jsdelivr.net/gh/ardhi/Leaflet.MousePosition/src/L.Control.MousePosition.min.js&quot;&gt;&lt;/script&gt;\n    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/ardhi/Leaflet.MousePosition/src/L.Control.MousePosition.min.css&quot;/&gt;\n&lt;/head&gt;\n&lt;body&gt;\n    \n    \n            &lt;div class=&quot;folium-map&quot; id=&quot;map_e6e224e2ffd224e16eb8684de0c1d5ff&quot; &gt;&lt;/div&gt;\n        \n&lt;/body&gt;\n&lt;script&gt;\n    \n    \n            var map_e6e224e2ffd224e16eb8684de0c1d5ff = L.map(\n                &quot;map_e6e224e2ffd224e16eb8684de0c1d5ff&quot;,\n                {\n                    center: [29.559684888503615, -95.0830971930759],\n                    crs: L.CRS.EPSG3857,\n                    zoom: 5,\n                    zoomControl: true,\n                 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popup_1a8b9dbea844467892e4d0add270fc9f.setContent(html_b5337b800189129c8e556c7530d6a7b2);\n            \n        \n\n        circle_291e3459ae399440eabbc6f4095e1ffe.bindPopup(popup_1a8b9dbea844467892e4d0add270fc9f)\n        ;\n\n        \n    \n    \n            var marker_8e3c20dbc20e3942143a274ee5832674 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_e3e66d4cd7e6476f5448d17925af4071 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003eCCAFS SLC-40\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_8e3c20dbc20e3942143a274ee5832674.setIcon(div_icon_e3e66d4cd7e6476f5448d17925af4071);\n        \n    \n            var circle_faa753e3e7f95544ec9df7d5e2b673d8 = L.circle(\n       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popup_7b2e85dd990f89838bf24369718f864a.setContent(html_dcf65697afe0d3275dbba4c84a6abe44);\n            \n        \n\n        circle_faa753e3e7f95544ec9df7d5e2b673d8.bindPopup(popup_7b2e85dd990f89838bf24369718f864a)\n        ;\n\n        \n    \n    \n            var marker_3c2df7fc71c9981c46b384081de29c3f = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(map_e6e224e2ffd224e16eb8684de0c1d5ff);\n        \n    \n            var div_icon_e25603441b0ca20c9053f692c38cb2d7 = L.divIcon({&quot;className&quot;: &quot;empty&quot;, &quot;html&quot;: &quot;\\u003cdiv style=\\&quot;font-size: 12; color:#d35400;\\&quot;\\u003e\\u003cb\\u003eKSC LC-39A\\u003c/b\\u003e\\u003c/div\\u003e&quot;, &quot;iconAnchor&quot;: [0, 0], &quot;iconSize&quot;: [20, 20]});\n            marker_3c2df7fc71c9981c46b384081de29c3f.setIcon(div_icon_e25603441b0ca20c9053f692c38cb2d7);\n        \n    \n            var circle_a19cb6426947fb629cf21d2706a3463b = L.circle(\n         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  ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0ffd4d8e96e2afc4c73b4fedf97fd1de = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_724498e89cf72afd6437757c6a11bda9.setIcon(icon_0ffd4d8e96e2afc4c73b4fedf97fd1de);\n        \n    \n            var marker_8a4c940df06ddca0c31d089dd5c20ad8 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_e287ccb937c3e311b008cacff521033c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8a4c940df06ddca0c31d089dd5c20ad8.setIcon(icon_e287ccb937c3e311b008cacff521033c);\n        \n    \n            var marker_7b197231719883065e3e32a23159d463 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_24c4bf416b54ba4fda62fda7503f8503 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7b197231719883065e3e32a23159d463.setIcon(icon_24c4bf416b54ba4fda62fda7503f8503);\n        \n    \n            var marker_750e7cc6abebe2d7eeecdf3e98d2cb55 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3dfb109a752be21f42af1bec444e764f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_750e7cc6abebe2d7eeecdf3e98d2cb55.setIcon(icon_3dfb109a752be21f42af1bec444e764f);\n        \n    \n            var marker_ebabf979d3b97441f8665f2290919064 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_c3bc70a8a9799196f6ac74acb3b1eccd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_ebabf979d3b97441f8665f2290919064.setIcon(icon_c3bc70a8a9799196f6ac74acb3b1eccd);\n        \n    \n            var marker_956b72f61f2fcbb0fb3b12c838e07066 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0ca132632e64c7387c41312f6f4956d8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_956b72f61f2fcbb0fb3b12c838e07066.setIcon(icon_0ca132632e64c7387c41312f6f4956d8);\n        \n    \n            var marker_45c170b9df5b44c973af4df8c10b6bbc = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0cf84bd04764c493a3188833d1bc8cd8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_45c170b9df5b44c973af4df8c10b6bbc.setIcon(icon_0cf84bd04764c493a3188833d1bc8cd8);\n        \n    \n            var marker_7cc135dded14df71f92ebccf80fb34cb = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ca32f39fc3a43a54d7de41e5c51fd5fd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7cc135dded14df71f92ebccf80fb34cb.setIcon(icon_ca32f39fc3a43a54d7de41e5c51fd5fd);\n        \n    \n            var marker_02dc421937dbea7c6d5299e3a03cae00 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_458a9810b8969bf4db1f45665e3964d8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_02dc421937dbea7c6d5299e3a03cae00.setIcon(icon_458a9810b8969bf4db1f45665e3964d8);\n        \n    \n            var marker_b9170ac262b1632bc7fe8ec235f74152 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_0a5f3f600d207215bdeed17b85260018 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b9170ac262b1632bc7fe8ec235f74152.setIcon(icon_0a5f3f600d207215bdeed17b85260018);\n        \n    \n            var marker_b0fba78214eb9e11c5487dfd96eeca0a = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_237cefd2f1f3930764210d7e6db83aea = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b0fba78214eb9e11c5487dfd96eeca0a.setIcon(icon_237cefd2f1f3930764210d7e6db83aea);\n        \n    \n            var marker_f256fed45eb3ea7a39395d2a9910810e = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ebdc04f44958aa3050d7ee5c5945467a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_f256fed45eb3ea7a39395d2a9910810e.setIcon(icon_ebdc04f44958aa3050d7ee5c5945467a);\n        \n    \n            var marker_dd2a44a1152605c3cb2f9cc3386e2797 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a421ce3f8be07995c2a3fdfcc8bd427 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd2a44a1152605c3cb2f9cc3386e2797.setIcon(icon_5a421ce3f8be07995c2a3fdfcc8bd427);\n        \n    \n            var marker_50c30f3884f7d110346e66c93cb97c18 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_197c3ff86652f5d0fba8926e6b1c8efb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_50c30f3884f7d110346e66c93cb97c18.setIcon(icon_197c3ff86652f5d0fba8926e6b1c8efb);\n        \n    \n            var marker_2f94368d88728bd26a2871dda411edd2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f7b3b9be66a291fc7490d2a88da5335a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_2f94368d88728bd26a2871dda411edd2.setIcon(icon_f7b3b9be66a291fc7490d2a88da5335a);\n        \n    \n            var marker_dd4f79cf6b4cf704e6ba1de7b3e00396 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_cb03ed1d67e52546246fed32b9595b49 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_dd4f79cf6b4cf704e6ba1de7b3e00396.setIcon(icon_cb03ed1d67e52546246fed32b9595b49);\n        \n    \n            var marker_94c8e77d4c8c64ee2cdb04de5748330b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d5d855fde5ba5196d19acfa6e2663cf2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_94c8e77d4c8c64ee2cdb04de5748330b.setIcon(icon_d5d855fde5ba5196d19acfa6e2663cf2);\n        \n    \n            var marker_1c1bc3351d2d6e50cc2ab4c65145bb48 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_092727e889decee882620fdd1207d5f3 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_1c1bc3351d2d6e50cc2ab4c65145bb48.setIcon(icon_092727e889decee882620fdd1207d5f3);\n        \n    \n            var marker_75934ccbcb5de93ec6b7f62c9f8e8c9d = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_c7775739b650bbc54a0bee3f704dcfec = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_75934ccbcb5de93ec6b7f62c9f8e8c9d.setIcon(icon_c7775739b650bbc54a0bee3f704dcfec);\n        \n    \n            var marker_0ec14c60696445354801cf8e7d0be19c = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5151a8c9304db43a5afcb45cd4c158ad = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0ec14c60696445354801cf8e7d0be19c.setIcon(icon_5151a8c9304db43a5afcb45cd4c158ad);\n        \n    \n            var marker_8b17920cfafa1fde1afdf3d505bc0c81 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_156c013f74bcc2abe83ca95afe5f5e51 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8b17920cfafa1fde1afdf3d505bc0c81.setIcon(icon_156c013f74bcc2abe83ca95afe5f5e51);\n        \n    \n            var marker_7ef06a9bc184b4c259f8f89dd66bb72b = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_02c5061b4c8bbaa37570332cf50ceec8 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7ef06a9bc184b4c259f8f89dd66bb72b.setIcon(icon_02c5061b4c8bbaa37570332cf50ceec8);\n        \n    \n            var marker_a68a67a66f6ce39f58c4aa653c8daba0 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_95892ebcf6e1fbf83efe23935ab389dd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_a68a67a66f6ce39f58c4aa653c8daba0.setIcon(icon_95892ebcf6e1fbf83efe23935ab389dd);\n        \n    \n            var marker_736b422562b0d584548239cb1fba74a2 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_f77b023766ac34a4b3b61e14e487b8d9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_736b422562b0d584548239cb1fba74a2.setIcon(icon_f77b023766ac34a4b3b61e14e487b8d9);\n        \n    \n            var marker_225fd0fa3abbe49d40b8fa77d0d966c8 = L.marker(\n                [28.56230197, -80.57735648],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9db630f62a1adbe7ddbf0bc8f73b9a0d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_225fd0fa3abbe49d40b8fa77d0d966c8.setIcon(icon_9db630f62a1adbe7ddbf0bc8f73b9a0d);\n        \n    \n            var marker_eb18617aa78b09198a407c7286eca61e = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_d1e560c7f5c49f4db07ff3ca8f1bfee0 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_eb18617aa78b09198a407c7286eca61e.setIcon(icon_d1e560c7f5c49f4db07ff3ca8f1bfee0);\n        \n    \n            var marker_edc219614be330aa51bb48c16be022fb = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_123e68a749e5df74e11a6e6ba35daed1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_edc219614be330aa51bb48c16be022fb.setIcon(icon_123e68a749e5df74e11a6e6ba35daed1);\n        \n    \n            var marker_7c27d38e87acc52b3720166a71fefb60 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_17d9ac5dca44d7ed35323230b15ea292 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c27d38e87acc52b3720166a71fefb60.setIcon(icon_17d9ac5dca44d7ed35323230b15ea292);\n        \n    \n            var marker_abcc123375dd207e869011f6614502d4 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9a54937c26a1f907a85da01ac0cd98ba = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_abcc123375dd207e869011f6614502d4.setIcon(icon_9a54937c26a1f907a85da01ac0cd98ba);\n        \n    \n            var marker_b3100f7d9d4776dc3d60d4f9f5688ca0 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_e21110e2be9a55439c17bd371a73bc9e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b3100f7d9d4776dc3d60d4f9f5688ca0.setIcon(icon_e21110e2be9a55439c17bd371a73bc9e);\n        \n    \n            var marker_6518c82bb551e2003152bf09568a2288 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_844f6e7b28eba2ebcfb33c6f51318517 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6518c82bb551e2003152bf09568a2288.setIcon(icon_844f6e7b28eba2ebcfb33c6f51318517);\n        \n    \n            var marker_0915f118ea5e9da6b20bc0729bd3806a = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_a6ce4a76f6f41458374edf5908f8be2d = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_0915f118ea5e9da6b20bc0729bd3806a.setIcon(icon_a6ce4a76f6f41458374edf5908f8be2d);\n        \n    \n            var marker_b601978b8b627523ae04ee06e8f8c5b2 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_64e3c80eb4a672c57972edb0cfe42306 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_b601978b8b627523ae04ee06e8f8c5b2.setIcon(icon_64e3c80eb4a672c57972edb0cfe42306);\n        \n    \n            var marker_545c81e146e64f551cac1ae0609705b1 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9b61f35a0d00edd9c446d591389d552b = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_545c81e146e64f551cac1ae0609705b1.setIcon(icon_9b61f35a0d00edd9c446d591389d552b);\n        \n    \n            var marker_6aaa04e6cfece208dc95eee5fafef428 = L.marker(\n                [34.63283416, -120.6107455],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5a3f2d690797b8e449a432ea3fb786df = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6aaa04e6cfece208dc95eee5fafef428.setIcon(icon_5a3f2d690797b8e449a432ea3fb786df);\n        \n    \n            var marker_d5918e3d7c4b0e6901efeeddbdcbfe3c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_bb2fb2f81c189e553892255c5c9402a1 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_d5918e3d7c4b0e6901efeeddbdcbfe3c.setIcon(icon_bb2fb2f81c189e553892255c5c9402a1);\n        \n    \n            var marker_80eb1bd5b08f8d5d0367af8bb0203855 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_047403db7d8ac6fa2bcd77fdc20307b2 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_80eb1bd5b08f8d5d0367af8bb0203855.setIcon(icon_047403db7d8ac6fa2bcd77fdc20307b2);\n        \n    \n            var marker_3a7a8e5b65ed39047acea13a033aac3a = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3318fe2f23c0e9ad001f5da3a120685c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_3a7a8e5b65ed39047acea13a033aac3a.setIcon(icon_3318fe2f23c0e9ad001f5da3a120685c);\n        \n    \n            var marker_234f7098bc64307668f0c140280efacb = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_22a2cd5d351de6f14a4b4f5146e90170 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_234f7098bc64307668f0c140280efacb.setIcon(icon_22a2cd5d351de6f14a4b4f5146e90170);\n        \n    \n            var marker_886a3619670f774658e191b070bd7b06 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5694bc2004bffa40402a4f579306f03a = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_886a3619670f774658e191b070bd7b06.setIcon(icon_5694bc2004bffa40402a4f579306f03a);\n        \n    \n            var marker_8cb88aaa386756caa4745f8f34edbb2d = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_ed01465cd062a47d9b3796a719bf901f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8cb88aaa386756caa4745f8f34edbb2d.setIcon(icon_ed01465cd062a47d9b3796a719bf901f);\n        \n    \n            var marker_18b96d31e3b6e083e1859556c843ea2c = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_19378f0296a44b50915b2319a38c892f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_18b96d31e3b6e083e1859556c843ea2c.setIcon(icon_19378f0296a44b50915b2319a38c892f);\n        \n    \n            var marker_54319085f09fab6bd15f55c3987babbf = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_60634386f6c651e36acd74bceb4cbcdb = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_54319085f09fab6bd15f55c3987babbf.setIcon(icon_60634386f6c651e36acd74bceb4cbcdb);\n        \n    \n            var marker_8841612cad6d63a36d2696270205f89b = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_45c08322814f29f7e90f4f4066d04a03 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8841612cad6d63a36d2696270205f89b.setIcon(icon_45c08322814f29f7e90f4f4066d04a03);\n        \n    \n            var marker_e2526b953a5e18a6fc301ab04b78d5df = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_5642a40d9bae920fed45c4bfadfd2c0f = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_e2526b953a5e18a6fc301ab04b78d5df.setIcon(icon_5642a40d9bae920fed45c4bfadfd2c0f);\n        \n    \n            var marker_6e259e20b3b2c7fe6a4c683d7c33fa7d = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_9e2c02f812c1bc23668c4456ac136398 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_6e259e20b3b2c7fe6a4c683d7c33fa7d.setIcon(icon_9e2c02f812c1bc23668c4456ac136398);\n        \n    \n            var marker_089e867689e9be4914a0c337a764b0fc = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_fcdd6976c75bc8125424b6c80b9edcd7 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_089e867689e9be4914a0c337a764b0fc.setIcon(icon_fcdd6976c75bc8125424b6c80b9edcd7);\n        \n    \n            var marker_8548f52def74b608b84a55bd9fc09618 = L.marker(\n                [28.57325457, -80.64689529],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_6b0e87f2c859feed13c5ddd40f5a013e = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_8548f52def74b608b84a55bd9fc09618.setIcon(icon_6b0e87f2c859feed13c5ddd40f5a013e);\n        \n    \n            var marker_58907bc6cf71e2a675d11610115cf062 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_286f791ac1705f859ed597467044b57c = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_58907bc6cf71e2a675d11610115cf062.setIcon(icon_286f791ac1705f859ed597467044b57c);\n        \n    \n            var marker_7c360060a359774247f35ab67cb923af = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_817767820dddd854f5e2238ac16dc714 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;green&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7c360060a359774247f35ab67cb923af.setIcon(icon_817767820dddd854f5e2238ac16dc714);\n        \n    \n            var marker_43fd4c66671092a4859e54fe82a8df4e = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_b1b263f76fe8f781bc44c759e8ee70fd = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_43fd4c66671092a4859e54fe82a8df4e.setIcon(icon_b1b263f76fe8f781bc44c759e8ee70fd);\n        \n    \n            var marker_7cc74830928518911085ab86d02a3910 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            );\n            marker_7cc74830928518911085ab86d02a3910.setIcon(icon_3a1bc387f6f4d07dfcd6f15dc6e4a8e9);\n        \n    \n            var marker_6f9a2c9c6b7282460a0b7057467250c9 = L.marker(\n                [28.56319718, -80.57682003],\n                {}\n            ).addTo(marker_cluster_067d4896a7fc64b8be200c400fc3a32e);\n        \n    \n            var icon_82ab9aaac922e9acd57c1f0371eb7145 = L.AwesomeMarkers.icon(\n                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;red&quot;, &quot;markerColor&quot;: &quot;white&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n            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    },
    {
      "cell_type": "markdown",
      "source": "After you plot distance lines to the proximities, you can answer the following questions easily:\n\n*   Are launch sites in close proximity to railways? Yes\n*   Are launch sites in close proximity to highways? Yes\n*   Are launch sites in close proximity to coastline? Yes\n*   Do launch sites keep certain distance away from cities? Yes\n\nAlso please try to explain your findings.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "# Next Steps:\n\nNow you have discovered many interesting insights related to the launch sites' location using folium, in a very interactive way. Next, you will need to build a dashboard using Ploty Dash on detailed launch records.\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "## Authors\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "[Pratiksha Verma](https://www.linkedin.com/in/pratiksha-verma-6487561b1/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork865-2022-01-01)\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "## Change Log\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "| Date (YYYY-MM-DD) | Version | Changed By      | Change Description      |\n| ----------------- | ------- | -------------   | ----------------------- |\n| 2022-11-09        | 1.0     | Pratiksha Verma | Converted initial version to Jupyterlite|\n",
      "metadata": {
        "trusted": true
      }
    },
    {
      "cell_type": "markdown",
      "source": "### <h3 align=\"center\"> IBM Corporation 2022. All rights reserved. <h3/>\n",
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        "trusted": true
      }
    }
  ]
}