A long time ago in GIS history, not having more than one point present in a polygon was super important because one point per polygon was the standard way to demonstrate a topologically clean polygon with its associated attribute and ID. Today, it is still important for many other reasons, such as assigning attributes to polygons based on points inside a polygon. We must perform a spatial join between the polygon and point to assign these valuable attributes. If two points are located in one polygon, which attributes do you use? This recipe is about creating a rule to check your data beforehand to ensure that only one point is located in each polygon. If this test fails, you will get a list or errors; if it passes, the test returns True
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Python Geospatial Analysis Cookbook
Python Geospatial Analysis Cookbook
Overview of this book
Table of Contents (20 chapters)
Python Geospatial Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Setting Up Your Geospatial Python Environment
Working with Projections
Moving Spatial Data from One Format to Another
Working with PostGIS
Vector Analysis
Overlay Analysis
Raster Analysis
Network Routing Analysis
Topology Checking and Data Validation
Visualizing Your Analysis
Web Analysis with GeoDjango
Other Geospatial Python Libraries
Mapping Icon Libraries
Index
Customer Reviews