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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 using the OSM datasets with trigrams


In this recipe, you will use OpenStreetMap streets' datasets imported in PostGIS to implement a very basic Python class in order to provide geocoding features to the class consumer. The geocode engine will be based on the implementation of the PostgreSQL trigrams provided by the contrib module of PostgreSQL: pg_trgm.

A trigram is a group of three consecutive characters contained in a string; it looks very effective to measure the similarity of two strings by counting the number of trigrams they have in common.

This recipe aims to be a very basic sample to implement some kind of geocoding functionalities (it will just return one or more points from a street name), but it could be extended to support more advanced features.

Getting ready

  1. For this recipe, make sure you have the latest GDAL, at least Version 1.10, as you will use it with ogr2ogr the new OGR OSM driver (http://www.gdal.org/ogr/drv_osm.html):

    $ ogrinfo --versionGDAL 1.10dev, released...
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