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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
Author Profile Icon Paolo Corti
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

Structuring spatial data with table inheritance

An unusual and useful property of the PostgreSQL database is that it allows for object inheritance models as they apply to tables. This means that we can have parent/child relationships between tables and leverage that to structure the data in meaningful ways. In our example, we will apply this to hydrology data. This data can be points, lines, polygons, or more complex structures, but they have one commonality: they are explicitly linked in a physical sense and inherently related; they are all about water. Water/hydrology is an excellent natural system to model this way, as our ways of modeling it spatially can be quite mixed depending on scales, details, the data collection process, and a host of other factors.

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