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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

Preface

Over time, Python has become the programming language of choice for spatial analysis, resulting in many packages that read, convert, analyze, and visualize spatial data. With so many packages available, it made sense to create a reference book for students and experienced professionals containing essential geospatial Python libraries for Python 3.

This book also comes at an exciting moment: new technology is transforming how people work with geospatial data – IoT, machine learning, and data science are areas where geospatial data is used constantly. This explains the inclusion of new Python libraries, such as CARTOframes and MapboxGL, and Jupyter is included as well, to explore these new trends. At the same time, web and cloud-based ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content