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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

Creating a choropleth map

With a choropleth map, we can display a polygon GeoJSON file. Using the tracts GeoDataFrame, we'll create another GeoDataFrame with polygon geometry and one tabular field, and save it to a file as GeoJSON:

tract_poly = tractstract_poly['Male Population'] = tract_poly['ACS_15_5YR_S0101_with_ann_Male; Estimate; Total population']tract_poly = tract_poly[['Male Population','geometry' ]]tract_poly.to_file('tracts_bayarea2.geojson', driver="GeoJSON")

The visualization is created using the ChoroplethViz class. The basemap style is the URL of the satellite imagery style created earlier in the MapBox Studio, section of the chapter:

vizClor = ChoroplethViz('tracts_bayarea2.geojson',     access_token=API_TOKEN, color_property='Male ...
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Publisher Resources

ISBN: 9781788293334Supplemental Content