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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Getting all states

By checking for a URL argument in the request.args dictionary, and then checking if the argument evaluates as true, we can determine if all of the state geometries should be returned. The GeoJSON response is generated from the state's geometry by using the to_shape function and the shapely.geometry.geo.mapping (shortened to smapping) function:

@app.route('/nba/api/v0.1/state', methods=['GET'])def get_states():  smapping = shapely.geometry.geo.mapping  states = session.query(State).all()  data = [{"type": "Feature",   "properties":{"state":state.name,"id":state.id},   "geometry":{"type":"MultiPolygon",   "coordinates":"[Truncated]"},  } for state in states]  if "geometry" in request.args.keys(): if request.args["geometry"]=='1' ...
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Publisher Resources

ISBN: 9781788293334Supplemental Content