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Merge pull request #2013 from tilezen/travisg/20211119-amalgam-build
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Improvements: Roads + Boundaries + Landcover + Estimated Locality Populations
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nvkelso authored Dec 2, 2021
2 parents cab179d + 1751220 commit 5dfc1d1
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Showing 6 changed files with 341 additions and 54 deletions.
4 changes: 2 additions & 2 deletions data/functions.sql
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion docs/layers.md
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Expand Up @@ -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`.

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94 changes: 94 additions & 0 deletions integration-test/1993-estimate-null-populations.py
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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)
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