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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

Concepts

Geospatial Analysis

Table of Contents (20) Chapters

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

Executing a spatial join and assigning point attributes to a polygon

We'll now get back to some more golf action where we would like to execute a spatial attribute join. We're given a situation where we have a set of polygons, in this case, these are in the form of golf greens without any hole number. Our hole number is stored in a point dataset that is located spatially within the green of each hole. We would like to assign each green its appropriate hole number based on its location within the polygon.

The OSM data from the Pebble Beach Golf Course located in Monterey California is our source data. This golf course is one the great golf courses on the PGA tour and is well mapped in OSM.

Tip

If you are interested in getting golf course data yourself from OSM, it is recommended that you use the great Overpass API at http://overpass-turbo.eu/. This site enables you to export the OSM data as GeoJSON or KML, for example.

To download all the golf-specific OSM data, you will need to correct tags...

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