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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
Languages
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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
Author Profile Icon Mayra Zurbarán
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

Writing PostGIS vector data with OGR Python bindings


In this recipe, you will use Python and the Python bindings of the GDAL/OGR library to create a script for geocoding a list of the names of places using one of the GeoNames web services (http://www.geonames.org/export/ws-overview.html). You will use the Wikipedia Fulltext Search web service (http://www.geonames.org/export/wikipedia-webservice.html#wikipediaSearch), which for a given search string returns the coordinates of the places matching that search string as the output, and some other useful attributes from Wikipedia, including the Wikipedia page title and url.

The script should first create a PostGIS point layer named wikiplaces in which all of the locations and their attributes returned by the web service will be stored.

This recipe should give you the basis to use other similar web services, such as Google Maps, Yahoo! BOSS Geo Services, and so on, to get results in a similar way.

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