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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

Converting between rasters and geometries


In the last recipe, we used the geometries to filter and clip rasters only to the areas of interest. The ST_Clip() and ST_Intersects() functions implicitly converted the geometry before relating it to the raster.

PostGIS provides several functions for converting rasters to geometries. Depending on the function, a pixel can be returned as an area or a point.

PostGIS provides one function for converting geometries to rasters.

Getting ready

In this recipe, we will convert rasters to geometries, and geometries to rasters. We will use the ST_DumpAsPolygons() and ST_PixelsAsPolygons() functions to convert rasters to geometries. We will then convert geometries to rasters using ST_AsRaster().

How to do it...

Let's adapt part of the query used in the last recipe to find out the average minimum temperature in San Francisco. We replace ST_SummaryStats() with ST_DumpAsPolygons(), and then return the geometries as WKT:

WITH geoms AS (SELECT ST_DumpAsPolygons(ST_Union...
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