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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

Introduction


Topology rules allow you to enforce and test spatial relationships between different geometry sets. This chapter will build an open source set of topology rules that you can run from the command line or integrate in your python programs.

The spatial relationships described by the DE-9IM (Nine Intersect Model) are Equals, Disjoint, Intersects, Touches, Crosses, Within, Contains, and Overlaps. However, exactly how these are related is something that's unclear for most beginners. We are referring to the interior, boundary, and exterior of our geometry types: Point, LineString, and Polygon, which are used directly to perform the topology checks. These are as follows:

  • Interior: This refers to the entire shape except for its boundary. All geometry types have interiors.

  • Boundary: This refers to the endpoints of all linear parts of line features or the linear outline of a polygon. Only lines and polygons have boundaries.

  • Exterior: This refers to the outside area a shape. All geometry...

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