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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

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Product type Paperback
Published in Sep 2019
Publisher
ISBN-13 9781789959277
Length 456 pages
Edition 3rd 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 (15) Chapters Close

Preface 1. Section 1: The History and the Present of the Industry
2. Learning about Geospatial Analysis with Python FREE CHAPTER 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

Building a GPS reporting tool

The name of our program is GPX-Reporter.py. If you remember the Tag and markup-based formats section in Chapter 2, Learning 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: http://git.io/vl7qi. Also, you will need to install a few Python libraries from PyPI.

You should 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 for working with near-global elevation data collected during the 11-day Shuttle Radar Topography Mission (SRTM) in 2000 by the space shuttle Endeavor. Install the SRTM module using pip:

pip install srtm.py

Alternatively, you can also download the zipped file, extract it, and copy the...

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