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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

Use geospatial data

MapD Core supports geometry and geography data types and can also generate interactive maps using coordinate columns to display data with x/y or longitude and latitude pairs. Point maps, heat maps, and choropleth maps can easily be generated and styled using the Immerse dashboard environment:

This data visualization was created by loading the Calaveras County address CSV from OpenAddresses into my MapD Immerse instance using the DATA MANAGER and then using the LON and LAT columns to create a heat map.

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Publisher Resources

ISBN: 9781788293334Supplemental Content