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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

Using polygon overlays for proportional census estimates


PostgreSQL functions abound for the aggregation of tabular data, including sum, count, min, max, and so on. PostGIS as a framework does not explicitly have spatial equivalents of these, but this does not prevent us from building functions using the aggregates in concert with PostGIS's spatial functionality.

In this recipe, we will explore spatial summarization with the United States Census data. US Census data, by nature, is aggregated data. This is done intentionally to protect the privacy of citizens. But when it comes to doing analyses with this data, the aggregate nature of the data can become problematic. There are some tricks to disaggregate data. Amongst the simplest of these is the use of a proportional sum based on area, which we will do in this exercise.

Getting ready

The problem at hand is that a proposed trail has been drawn in order to provide services for the public. This example could apply to road construction or even...

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