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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

Vector Data Analysis

This chapter will cover geospatial analysis and processing of vector data. The following three Python libraries will be covered—Shapely, OGR, and GeoPandas. The reader will learn how to use these Python libraries to perform geospatial analysis, including the writing of basic and advanced analysis scripts.

Each library is covered separately, with an overview of its data structures, methods, and classes where appropriate. We'll discuss the best use cases for each library and how to use them together for geospatial workflows. Short example scripts illustrate how to perform the basic geographical analysis. The GeoPandas library enables more complex functionality for doing data science tasks and incorporating geospatial analysis. ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content