Improvements: Roads + Boundaries + Landcover + Estimated Locality Populations

data/functions.sql

@@ -683,9 +683,9 @@ BEGIN
         MIN(
             CASE WHEN hstore(tags)->'network' IN ('icn', 'ncn') THEN 8
                  WHEN hstore(tags)->'network' IN ('iwn', 'nwn') THEN 9
-                 WHEN hstore(tags)->'network' IN ('rcn') THEN 10
+                 WHEN hstore(tags)->'network' IN ('rcn') THEN 11
                  WHEN hstore(tags)->'network' IN ('rwn') THEN 11
-                 WHEN hstore(tags)->'network' IN ('lcn') THEN 11
+                 WHEN hstore(tags)->'network' IN ('lcn') THEN 12
                  WHEN hstore(tags)->'network' IN ('lwn') THEN 12
             ELSE NULL
             END

docs/layers.md

@@ -1539,7 +1539,7 @@ To improve performance, some road segments are merged at low and mid-zooms. To f
 
 **Roads** from **Natural Earth**  are used at low zooms below 8. Road `kind_detail` values are limited to `motorway`, `trunk`, `primary`, `secondary`, `tertiary`.
 
-**Roads** from **OpenStreetMap** are shown starting at zoom 8 with `motorway`, `trunk`, `primary`. `secondary` are added starting at zoom 10, with `motorway_link`, `tertiary`, `unclassified`, and paved grade1 `track` added at zoom 11. Zoom 12 sees addition of `trunk_link`, `residential`, `road`, and grade1 and grade2 `track`. Zoom 13 adds `primary_link`, `secondary_link`, `raceway`, remaining `track`, `pedestrian`, `living_street`, `cycleway` and `bridleway`. Zoom 14 adds `tertiary_link`, all remaining `path`, `footway`, and `steps`, `corridor`, and `alley` service roads. By zoom 15 all remaining service roads are added, including `driveway`, `parking_aisle`, `drive_through`. Internationally and nationally significant paths (`path`, `footway`, `steps`) are added at zoom 9, regionally significant paths are added at zoom 11, locally significant at zoom 12, and named or designated paths at zoom 13. Internationally and nationally significant bicycle routes are added at zoom 8, regionally significant bike routes at zoom 10, and locally significant at zoom 11.
+**Roads** from **OpenStreetMap** are shown starting at zoom 8 with `motorway`, `trunk`, `primary`. `secondary` are added starting at zoom 10, with `motorway_link`, `tertiary`, and paved grade1 `track` added at zoom 11. Zoom 12 sees addition of `trunk_link`, `unclassified`, `residential`, `road`, and grade1 and grade2 `track`. Zoom 13 adds `primary_link`, `secondary_link`, `raceway`, remaining `track`, `pedestrian`, `living_street`, `cycleway` and `bridleway`. Zoom 14 adds `tertiary_link`, all remaining `path`, `footway`, and `steps`, `corridor`, and `alley` service roads. By zoom 15 all remaining service roads are added, including `driveway`, `parking_aisle`, `drive_through`. Internationally and nationally significant paths (`path`, `footway`, `steps`) are added at zoom 9, regionally significant paths are added at zoom 11, locally significant at zoom 12, and named or designated paths at zoom 13. Internationally and nationally significant bicycle routes are added at zoom 8, regionally significant bike routes at zoom 10, and locally significant at zoom 11.
 
 **Ferries** from both Natural Earth and OpenStreetMap are shown starting at zoom 5 with `kind` values of `ferry`.
 

integration-test/1993-estimate-null-populations.py

@@ -0,0 +1,94 @@
+import dsl
+from . import FixtureTest
+
+
+class EstimatePopulationsTest(FixtureTest):
+
+    def validate_est_population(self, point, tile_coord, min_zoom_with_pop, min_zoom_with_est_pop, est_pop):
+        z, x, y = tile_coord
+
+        self.generate_fixtures(point)
+        self.assert_has_feature(
+            z, x, y, 'places', {
+                'id': point.fid,
+                'population': int(point.properties['population']),
+                'min_zoom': min_zoom_with_pop
+            })
+
+        del point.properties['population']
+
+        self.generate_fixtures(point)
+        self.assert_has_feature(
+            z, x, y, 'places', {
+                'id': point.fid,
+                'population': est_pop,
+                'min_zoom': min_zoom_with_est_pop
+            })
+
+    def test_city(self):
+        z, x, y = (10, 518, 351)
+        # https://www.openstreetmap.org/node/26691955
+        city = dsl.point(26691955, (2.2481797, 48.9479069),
+                         {'addr:postcode': u'95100', 'capital': u'7', 'name': u'Argenteuil',
+                          'place': u'city', 'population': u'104282',
+                          'ref:SIREN': u'219500188', 'source': u'openstreetmap.org',
+                          'source:population': u'INSEE 2007', 'wikidata': u'Q181946',
+                          'wikipedia': u'fr:Argenteuil (Val-dOise)', })
+
+        self.validate_est_population(city, (z, x, y), 8, 9, 10000)
+
+    def test_town(self):
+        z, x, y = (11, 1036, 703)
+        # https://www.openstreetmap.org/node/26691480
+        town = dsl.point(26691480, (2.2303498, 48.986025), {
+            'alt_name': u'Franconville',
+            'name': u'Franconville-la-Garenne',
+            'place': u'town',
+            'population': u'33097',
+            'source': u'openstreetmap.org',
+            'source:population': u'INSEE 2013',
+            'wikidata': u'Q237333',
+        })
+        self.validate_est_population(town, (z, x, y), 8, 10, 5000)
+
+    def test_locality(self):
+        z, x, y = (14, 8296, 5638)
+        # https://www.openstreetmap.org/node/442197
+        locality = dsl.point(442197, (2.2883604, 48.8326932),
+                             {'name': u'Porte de Versailles', 'place': u'locality', 'population': u'1121',
+                              'source': u'openstreetmap.org',
+                              'unsigned': u'no', })
+        self.validate_est_population(locality, (z, x, y), 13, 14, 1000)
+
+    def test_village(self):
+        z, x, y = (13, 4141, 2827)
+        # https://www.openstreetmap.org/node/602470737
+        village = dsl.point(602470737, (1.9878964, 48.5872266),
+                          {'addr:postcode': u'78730', 'name': u'Rochefort-en-Yvelines', 'place': u'village',
+                           'population': u'956', 'source': u'openstreetmap.org', })
+
+        self.validate_est_population(village, (z, x, y), 12, 13, 2000)
+
+    def test_hamlet(self):
+        z, x, y = (15, 16563, 11302)
+        # https://www.openstreetmap.org/node/534228360
+        hamlet = dsl.point(534228360, (1.967011, 48.6425931),
+                           {'name': u'Les Bordes', 'place': u'hamlet', 'population': u'816',
+                            'source': u'openstreetmap.org', })
+        self.validate_est_population(hamlet, (z, x, y), 13, 14, 200)
+
+    def test_isolated_dwelling(self):
+        z, x, y = (16, 33142, 22608)
+        # https://www.openstreetmap.org/node/5111001636
+        dwelling = dsl.point(5111001636, (2.0597882, 48.6321613),
+                             {'name': u'La Maison Grise', 'place': u'isolated_dwelling', 'population': u'220',
+                              'source': u'openstreetmap.org', })
+        self.validate_est_population(dwelling, (z, x, y), 14, 15, 100)
+
+    def test_farm(self):
+        z, x, y = (16, 33137, 22614)
+        # https://www.openstreetmap.org/node/5922383856
+        farm = dsl.point(5922383856, (2.0303734, 48.6082567),
+                         {'contact:website': u'https://www.fermedesclos.com/', 'name': u'Ferme des Clos',
+                          'place': u'farm', 'population': u'91', 'source': u'openstreetmap.org', })
+        self.validate_est_population(farm, (z, x, y), 14, 15, 50)