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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 arenas by state

This function uses spatial analysis to find all arenas that are contained by the state. The state is identified by the ID, and the URL component within which it will select all arenas whose geometry is within the state geometry:

@app.route('/nba/api/v0.1/state/<int:state_id>/contains', methods=['GET'])def get_state_arenas(state_id):  state = session.query(State).get(state_id)  shp = to_shape(state.geom)  geojson = shapely.geometry.geo.mapping(shp)  data = [{"type": "Feature", "properties":{"name":state.name},   "geometry":{"type":"MultiPolygon", "coordinates":[geojson]},  }]  arenas = session.query(Arena).filter(state.geom.ST_Contains(arena.geom))  data_arenas =[{"type": "Feature", "properties":{"name":arena.name}, "geometry":{"type":"Point", ...
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Publisher Resources

ISBN: 9781788293334Supplemental Content