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Learning Geospatial Analysis with Python-Second Edition

You're reading from Learning Geospatial Analysis with Python-Second Edition An effective guide to geographic information systems and remote sensing analysis using Python 3

Product type Paperback

Published in Dec 2015

Publisher Packt

ISBN-13 9781783552429

Length 394 pages

Edition 1st Edition

Languages

Python

Concepts

Geospatial Analysis

Author (1):

Joel Lawhead

View More author details

Table of Contents (12) Chapters

Preface

1. Learning Geospatial Analysis with Python FREE CHAPTER

2. Geospatial Data

3. The Geospatial Technology Landscape

4. Geospatial Python Toolbox

5. Python and Geographic Information Systems

6. Python and Remote Sensing

7. Python and Elevation Data

8. Advanced Geospatial Python Modeling

9. Real-Time Data

10. Putting It All Together

Index

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 all the time, you will be better equipped to make the most of geospatial analysis. This book focuses on using open source tools found almost entirely within the PyPI directory for the ease of installation and integration. 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

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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