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Python Geospatial Analysis Cookbook

You're reading from  Python Geospatial Analysis Cookbook

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

Table of Contents (20) Chapters close

Python Geospatial Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Setting Up Your Geospatial Python Environment 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 Other Geospatial Python Libraries
Mapping Icon Libraries
Index

Punching holes in polygons with a symmetric difference operation


Why, oh why would we want to punch holes in polygons and create a donut? Well, this is done for several reasons, for example, you may want to remove a lake polygon from a forest polygon that it overlaps since it sits in the middle of the forest and is, therefore, included in your area calculations.

Another example is where we have a set of polygons representing a golf course's fairways and a second set of polygons representing the greens that overlap these fairways. Our task is to calculate the correct number of square meters of fairways. The greens will create our donuts in a fairway's polygons.

This is translated into spatial operation terminology and means that we need to perform a symmetric difference operation or, in ESRI terminology, an "erase" operation.

Getting ready

In this example, we will create two sets of visualizations to see our results. Our output will generate Well Known Text (WKT) that is displayed in your browser...

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