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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

Summary

In this chapter, we learned how to use the MapboxGL—Jupyter and Mapbox Python SDK to create data visualizations and to upload data into the Mapbox account. We created point data visualizations, choropleth maps, heat maps, and graduated circle visualizations. We learned how to style a custom basemap, how to add it to an HTML map, and how to add custom tilesets to the basemap. We learned how to use GeoPandas to convert Polygon data into point data, and how to visualize the result. 

In the next chapter, we will explore the use of Python modules and Hadoop to perform geospatial analysis.

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Publisher Resources

ISBN: 9781788293334Supplemental Content