Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781783555079
Length 310 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
 Diener Diener
Author Profile Icon Diener
Diener
Arrow right icon
View More author details
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 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 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime
Visually different images