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PostGIS Cookbook

You're reading from   PostGIS Cookbook For web developers and software architects this book will provide a vital guide to the tools and capabilities available to PostGIS spatial databases. Packed with hands-on recipes and powerful concepts

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Product type Paperback
Published in Jan 2014
Publisher
ISBN-13 9781849518666
Length 484 pages
Edition Edition
Languages
Tools
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Toc

Table of Contents (18) Chapters Close

PostGIS Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Moving Data In and Out of PostGIS FREE CHAPTER 2. Structures that Work 3. Working with Vector Data – The Basics 4. Working with Vector Data – Advanced Recipes 5. Working with Raster Data 6. Working with pgRouting 7. Into the Nth Dimension 8. PostGIS Programming 9. PostGIS and the Web 10. Maintenance, Optimization, and Performance Tuning 11. Using Desktop Clients Index

Geocoding with geopy and PL/Python


In this recipe, you will geocode addresses using a web geocoding API such as Google Maps, Yahoo! Maps, geocoder.us, GeoNames, and so on. Be sure to read the Terms of Services of these APIs carefully before using them in production.

The geopy Python library (http://code.google.com/p/geopy/) offers a convenient, uniform access to all of these web services. Therefore, you will use it to create a PL/Python PostgreSQL function that can be used in your SQL commands to query all of these engines.

Getting ready

  1. Install geopy globally. (You cannot use a virtual environment in this case, as the user running the PostgreSQL service needs to access it on its Python path.)

    In a Debian/Ubuntu box, it is as easy as typing the following:

    $ sudo pip install geopy
    

    In Windows, you can use the following command:

    > pip install geopy
    
  2. If you still did not use PL/Python, verify whether your PostgreSQL server installation supports it. The Windows EDB installer should already include...

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