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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

Creating a rule – only one point inside a polygon


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.

Getting ready

Data again plays the central role here, so check that your /ch09/geodata/ folder is ready with two input Shapefiles containing topo_polys.shp and topo_points.shp. The Shapely library performs...

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