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Learning Geospatial Analysis with Python - Third Edition

You're reading from Learning Geospatial Analysis with Python - Third Edition

Product type Book

Published in Sep 2019

Publisher Packt

ISBN-13 9781789959277

Pages 456 pages

Edition 3rd Edition

Languages

Concepts

Geospatial Analysis

Author (1):

Joel Lawhead

Table of Contents (15) Chapters

Preface

1. Section 1: The History and the Present of the Industry

2. Learning about Geospatial Analysis with Python

3. Learning Geospatial Data

4. The Geospatial Technology Landscape

5. Section 2: Geospatial Analysis Concepts

6. Geospatial Python Toolbox

7. Python and Geographic Information Systems

8. Python and Remote Sensing

9. Python and Elevation Data

10. Section 3: Practical Geospatial Processing Techniques

11. Advanced Geospatial Python Modeling

12. Real-Time Data

13. Putting It All Together

14. Other Books You May Enjoy

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Summary

Congratulations! In this book, you pulled together the most essential tools and skills needed to be a modern geospatial analyst. Whether you use geospatial data occasionally or use it all the time, you will be better equipped to make the most of geospatial analysis. This book focuses on using open source tools almost entirely found within the PyPI directory for ease of installation and integration. But even if you are using Python as a driver for a commercial GIS package or a popular library such as GDAL, the ability to test out new concepts in pure Python will always come in handy.

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Authors (1)

Joel Lawhead

Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified GIS Professional (GISP), and vice president of NVision Solutions, Inc., an award-winning firm specializing in geospatial technology integration and sensor engineering for NASA, FEMA, NOAA, the US Navy, and many other commercial and non-profit organizations. Joel began using Python in 1997 and started combining it with geospatial software development in 2000. He has authored multiple editions of Learning Geospatial Analysis with Python and QGIS Python Programming Cookbook, both from Packt. He is also the developer of the open source Python Shapefile Library (PyShp) and maintains a geospatial technical blog.

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