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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

This chapter covered three Python libraries for working with vector data—OGR, Shapely, and GeoPandas. In particular, we showed how to use all three for doing geospatial analysis and processing. Each library was covered separately, with their classes, methods, data structures and popular use cases. Short example scripts showed how to get started doing data processing and analysis. Taken as a whole, the reader now knows how to use each library separately, as well as how to combine all three for doing the following tasks:

  • Reading and writing vector data
  • Creating and manipulating vector data
  • Plotting vector data
  • Working with map projections
  • Performing spatial operations
  • Working with vector geometries and attribute data in tabular form ...
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Publisher Resources

ISBN: 9781788293334Supplemental Content