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PostGIS Cookbook

You're reading from   PostGIS Cookbook Store, organize, manipulate, and analyze spatial data

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Product type Paperback
Published in Mar 2018
Publisher
ISBN-13 9781788299329
Length 584 pages
Edition 2nd Edition
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Authors (6):
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Pedro Wightman Pedro Wightman
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Pedro Wightman
Bborie Park Bborie Park
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Bborie Park
Paolo Corti Paolo Corti
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Paolo Corti
Stephen Vincent Mather Stephen Vincent Mather
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Stephen Vincent Mather
Thomas Kraft Thomas Kraft
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Thomas Kraft
Mayra Zurbarán Mayra Zurbarán
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Mayra Zurbarán
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Table of Contents (14) Chapters Close

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 12. Introduction to Location Privacy Protection Mechanisms 13. Other Books You May Enjoy

Geocoding with geopy and PL/Python


In this recipe, you will geocode addresses using web geocoding APIs, such as Google Maps, Yahoo! Maps, Geocoder, GeoNames, and so on. Be sure to read the terms of service of these APIs carefully before using them in production.

The geopy Python library (https://github.com/geopy/geopy) offers 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
  1. If you still have not used PL/Python, verify whether your PostgreSQL server installation supports it. The Windows EDB installer should already include support...
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