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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

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 Full Text 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.

Before you start, please note the terms of use of...

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