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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
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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

Working with basic raster information and analysis


So far, we've checked and imported the PRISM and SRTM rasters into the chp05 schema of the postgis_cookbook database. We will now proceed to work with the rasters within the database.

Getting ready

In this recipe, we explore functions that provide insight into the raster attributes and characteristics found in the postgis_cookbook database. In doing so, we can see if what is found in the database matches the information provided by accessing gdalinfo.

How to do it...

PostGIS includes the raster_columns view to provide a high-level summary of all the raster columns found in the database. This view is similar to the geometry_columns and geography_columns views in function and form.

Let's run the following SQL query in the raster_columns view to see what information is available in the prism table:

SELECT 
  r_table_name, 
  r_raster_column, 
  srid, 
  scale_x, 
  scale_y, 
  blocksize_x, 
  blocksize_y, 
  same_alignment, 
  regular_blocking, ...
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