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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

Chapter 8. Advanced Geospatial Python Modeling

In this chapter, we'll build on the data processing concepts that you've learned up to this point to create some full-scale information products. We will introduce some important geospatial algorithms commonly used in agriculture, emergency management, logistics, and other industries.

We'll create the following products in this chapter:

  • A crop health map

  • A flood inundation model

  • A colorized hillshade

  • A terrain routing map

  • A street routing map

  • A shapefile with links to geolocated photos

While these products are task specific, the algorithms used to create them are widely applied in geospatial analysis. The examples in this chapter are longer and more complex than in the previous chapters. For that reason, there are far more code comments to make the programs easier to follow. We will also use more functions in these examples. In the previous chapters, functions were mostly avoided for clarity. But these examples are sufficiently complex, and certain...

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