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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

Simplifying geometries


There will be many times when you will need to generate a less detailed and lighter version of a vector dataset, as you may not need too-detailed features for several reasons. Think about a case where you are going to publish the dataset to a website and performance is a concern, or maybe you need to deploy the dataset to a colleague who does not need too much detail because he or she is using it for a large-area map. In all of these cases, GIS tools provide you the implementation of simplification algorithms that reduce unwanted details from a given dataset. Basically, these algorithms reduce the vertex numbers comprised in a certain tolerance, which is expressed in units measuring distance.

For this purpose, PostGIS provides you the ST_Simplify and ST_SimplifyPreserveTopology functions. In many cases, they are the right solutions for simplification tasks, but in some cases, especially for polygonal features, they are not the best option out there and you will need...

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