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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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Toc

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

Introduction


In this chapter, you will work with a set of PostGIS functions and vector datasets. You will first take a look at how to use PostGIS with GPS data—you will import such datasets using ogr2ogr and then compose polylines from point geometries using the ST_MakeLine function.

Then, you will see how PostGIS helps you find and fix invalid geometries with functions such as ST_MakeValid, ST_IsValid, ST_IsValidReason, and ST_IsValidDetails.

You will then learn about one of the most powerful elements of a spatial database, spatial joins. PostGIS provides you with a rich set of operators, such as ST_Intersects, ST_Contains, ST_Covers, ST_Crosses, and ST_DWithin, for this purpose.

After that, you will use the ST_Simplify and ST_SimplifyPreverveTopology functions to simplify (generalize) geometries when you don't need too many details. While this function works well on linear geometries, topological anomalies may be introduced for polygonal ones. In such cases, you should consider using an external...

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