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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

Combining geometries with rasters for analysis


In the previous two recipes, we ran basic statistics only on one raster tile. Though running operations on a specific raster is great, it is not very helpful for answering real questions. In this recipe, we will use geometries to filter, clip, and union raster tiles so that we can answer questions for a specific area.

Getting ready

We will use the San Francisco boundaries geometry previously imported into the sfpoly table. If you have not imported the boundaries, refer to the first recipe of this chapter for instructions.

How to do it...

Since we are to look at rasters in the context of San Francisco, an easy question to ask is: what was the average temperature for January, 2012 in San Francisco?

SELECT (
        ST_SummaryStats(
                ST_Union(
                        ST_Clip(prism.rast, 2, ST_Transform(sf.geom, 4322), TRUE)
                ),
                1
        )
).mean
FROM prism
JOIN sfpoly sf
        ON ST_Intersects(prism.rast...
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