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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

Converting the route to a shapefile

The raster version of the least cost path route is useful for visualization, but it isn't much good for analysis because it is embedded in the raster, and it is, therefore, difficult to relate to other datasets as we have done so many other times in this book. Our next goal will be to use the path data that we saved when creating the route to create a shapefile since the saved data is in the proper order. The following code will convert our raster path to a shapefile that is easier to use in a GIS for analysis:

  1. First, we'll import the modules that we need, which aren't many. We'll use the pickle module to restore the path data object. Then, we'll use the linecache module to read the geospatial header information from the path raster in order to map the path rows and columns to the earth coordinates. Finally, we&apos...
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