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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
Languages
Tools
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Authors (6):
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 Vincent Mather Vincent Mather
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Vincent Mather
Pedro Wightman Pedro Wightman
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Pedro Wightman
 Park Park
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Park
Thomas Kraft Thomas Kraft
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Thomas Kraft
Mayra Zurbarán Mayra Zurbarán
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Mayra Zurbarán
 Corti Corti
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Corti
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Toc

Table of Contents (18) Chapters Close

Title Page
Packt Upsell
Contributors
Preface
1. Moving Data In and Out of PostGIS 2. Structures That Work FREE CHAPTER 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 1. Other Books You May Enjoy Index

Performing advanced map-algebra operations


In a prior recipe, we used the expression-based map-algebra function ST_MapAlgebra() to convert the PRISM pixel values to their true values. The expression-based ST_MapAlgebra() method is easy to use, but limited to operating on at most two raster bands. This restricts the ST_MapAlgebra() function's usefulness for processes that require more than two input raster bands, such as the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI).

There is a variant of ST_MapAlgebra() designed to support an unlimited number of input raster bands. Instead of taking an expression, this ST_MapAlgebra() variant requires a callback function. This callback function is run for each set of input pixel values, and returns either a new pixel value, or NULL for the output pixel. Additionally, this variant of ST_MapAlgebra() permits operations on neighborhoods (sets of pixels around a center pixel).

PostGIS comes with a set of ready-to-use...

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