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Python Geospatial Analysis Cookbook

You're reading from   Python Geospatial Analysis Cookbook Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781783555079
Length 310 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (15) Chapters Close

Preface 1. Setting Up Your Geospatial Python Environment FREE CHAPTER 2. Working with Projections 3. Moving Spatial Data from One Format to Another 4. Working with PostGIS 5. Vector Analysis 6. Overlay Analysis 7. Raster Analysis 8. Network Routing Analysis 9. Topology Checking and Data Validation 10. Visualizing Your Analysis 11. Web Analysis with GeoDjango A. Other Geospatial Python Libraries
B. Mapping Icon Libraries
Index

Splitting polygons with lines


Typically, in GIS, we work with data that influences other data in some form due to their inherit spatial relationship. This means that we need to work with one dataset to edit, update, and even delete another dataset. A typical example of this is an administrative boundary, which is a polygon that you cannot see on a physical surface but that influences feature information it crosses such as a lake. If we have a lake polygon and an administrative boundary, we might want to know how many square meters of lake belongs to each administrative boundary.

Another example could be a forest polygon that contains one species of trees that crosses a river. We might want to know the area on either side of the river. In the first scenario, we need to transform our administrative boundaries into LineStrings and then perform the cut.

To see what this looks like, take a look at this spoiler on how the results will look up front since we all like a good visual.

Getting ready

For...

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