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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

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783552429
Length 394 pages
Edition 1st Edition
Languages
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (17) Chapters Close

Learning Geospatial Analysis with Python Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
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

Working with GPX-Reporter.py


The name of our program is GPX-Reporter.py. As we saw in the Tag-based and markup-based formats section, in Chapter 2, Geospatial Data, the GPX format is the most common way to store GPS route information. Nearly every program and device relying on GPS data can convert to and from GPX.

For this example, you can download a sample GPX file from at http://git.io/vl7qi.

You will also need to install a few Python libraries from PyPI. If you've worked through the rest of this book, you'll have most of them already:

  • PIL: The Python Imaging Library

  • Numpy: The multidimensional, array-processing library

  • Pygooglechart: A Python wrapper for the excellent Google Chart API

  • Fpdf: A simple, pure python PDF writer

Simply use easy_install or pip to install these tools. We will also be using a module called SRTM.py. This module is a utility to work with near-global elevation data collected during the 11-day Shuttle Radar Topography Mission in 2000 by the Space Shuttle, Endeavor. However...

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