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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781783281138
Length 364 pages
Edition 1st Edition
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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 (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python 2. Geospatial Data FREE CHAPTER 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 Modelling 9. Real-Time Data 10. Putting It All Together Index

Working with GPX-Reporter.py

The name of our program is GPX-Reporter.py. If you remember from the section Tag and markup-based formats, 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 here:

https://geospatialpython.googlecode.com/files/route.gpx

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: multi-dimensional, array-processing library, which uses linear algebra
  • Srtm.py: a utility for working with near-global elevation data
  • 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.

You will also need to register for a free WeatherUnderground.com developer account...

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