Python tools for doing GeoJSON related things with Who's On First data

py-mapzen-whosonfirst-geojson

Python tools for doing GeoJSON related things with Who's On First data

Install

sudo pip install -r requirements.txt .

Usage

mapzen.whosonfirst.geojson.encoder

This is the primary (and so far only) use for this package. Basically it exists for two purposes:

• Ensure that the geometry property of GeoJSON features are not indented while everything else is
• Optionally ensure that coordinates are trimmed to n decimal pointsby passing argument to the constructor (the default is None whichis to leave coordinates unchanged)

For example:

```import sysimport geojsonimport mapzen.whosonfirst.geojson

path = '/path/to/101/736/545/101736545.geojson'

fh = open(path, 'r')f = geojson.load(fh)

e = mapzen.whosonfirst.geojson.encoder(precision=None)e.encode_feature(f, sys.stdout)```

Would yield:

{ "id": 101736545, "type": "Feature", "properties": { "edtf:cessation":"u", "edtf:inception":"u", "geom:area":0.049595, "geom:bbox":"-73.974351,45.409653,-73.474127,45.707578", "geom:latitude":45.526620, "geom:longitude":-73.652698, "gn:population":3268513, "iso:country":"CA", "lbl:latitude":45.572744, "lbl:longitude":-73.586295, "mps:latitude":45.572744, "mps:longitude":-73.586295, "name:chi_p":[ "\u8499\u7279\u5229\u5c14" ], "name:chi_v":[ "\u8499\u7279\u5229\u723e" ], "name:eng_p":[ "Montreal" ], "name:eng_s":[ "Montreal", "City of Saints", "The Golden City", "City of a thousand bell towers", "La ville aux cent clochers", "The Belltower", "Sin City", "The Amsterdam of North America", "The City Light", "The Lamp", "The Big Island", "The Metropolis", "Frenchtown", "The City-Mountain", "Mount Real", "Silvercity", "Royal City", "The City of Saints", "The Festival City", "MTL", "Montr\u00e9alit\u00e9", "La M\u00e9tropole", "Hollywood North", "YUL" ], "name:eng_v":[ "YMQ" ], "name:fre_p":[ "Montr\u00e9al" ], "name:ger_p":[ "Montreal" ], "name:jpn_p":[ "\u30e2\u30f3\u30c8\u30ea\u30aa\u30fc\u30eb" ], "name:kor_p":[ "\ubaac\ud2b8\ub9ac\uc62c" ], "qs:a0":"Canada", "qs:a1":"*Quebec", "qs:a1_lc":"QC", "qs:a1r":"*", "qs:adm0":"Canada", "qs:id":0, "qs:la_lc":"*", "qs:level":"locality", "qs:loc":"Montr\u00e9al", "qs:loc_alt":"Montr\u00e9al", "qs:loc_lc":"08b1ec0ebe3d11d892e2080020a0f4c9", "qs:pop":0, "qs:source":"NCanada Census", "qs:type":"Ville", "src:geom":"quattroshapes", "src:geom_alt":[], "src:lbl:centroid":"mapshaper", "wof:belongsto":[ 102191575, 85633041, 136251273 ], "wof:breaches":[], "wof:concordances":{ "fct:id":"03c06bce-8f76-11e1-848f-cfd5bf3ef515", "gn:id":6077243, "gp:id":3534, "tgn:id":7013051 }, "wof:country":"CA", "wof:geomhash":"61796e06fa083f36a12ff04906e440c2", "wof:hierarchy":[ { "continent_id":102191575, "country_id":85633041, "locality_id":101736545, "region_id":136251273 } ], "wof:id":101736545, "wof:lastmodified":1442973034, "wof:megacity":"1", "wof:name":"Montr\u00e9al", "wof:parent_id":136251273, "wof:placetype":"locality", "wof:scale":"1", "wof:superseded_by":[], "wof:supersedes":[], "wof:tags":[]}, "bbox": [-73.974351,45.409653,-73.474127,45.707578], "geometry": {"coordinates":[ ... ],"type":"Polygon"}}

Caveat

I wish we didn't have to this. If there's a way to do this using thedefault "override the JSONEncoder class"stuff in Python – without converting things in to strings – then I'd love tohear about it.

See also

• https://github.com/whosonfirst/py-mapzen-whosonfirst-export

To restore the repository download the bundle

wget https://archive.org/download/github.com-whosonfirst-py-mapzen-whosonfirst-geojson_-_2017-03-22_01-43-21/whosonfirst-py-mapzen-whosonfirst-geojson_-_2017-03-22_01-43-21.bundle

and run:

 git clone whosonfirst-py-mapzen-whosonfirst-geojson_-_2017-03-22_01-43-21.bundle 

Source: https://github.com/whosonfirst/py-mapzen-whosonfirst-geojson
Uploader: whosonfirst
Upload date: 2017-03-22

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