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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

Performing simple map-algebra operations


In the previous recipe, we saw that the values in the PRISM rasters did not look correct for temperature values. After looking at the PRISM metadata, we learned that the values were scaled by 100.

In this recipe, we will process the scaled values to get the true values. Doing this will prevent future end-user confusion, which is always a good thing.

Getting ready

PostGIS provides two types of map-algebra functions, both of which return a new raster with one band. The type you use depends on the problem being solved and the number of raster bands involved.

The first map-algebra function (ST_MapAlgebra() or ST_MapAlgebraExpr()) depends on a valid, user-provided PostgreSQL algebraic expression that is called for every pixel. The expression can be as simple as an equation, or as complex as a logic-heavy SQL expression. If the map-algebra operation only requires at most two raster bands, and the expression is not complicated, you should have no problems using...

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