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Mastering PostGIS

You're reading from   Mastering PostGIS Modern ways to create, analyze, and implement spatial data

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781784391645
Length 328 pages
Edition 1st Edition
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Authors (4):
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Dominik Mikiewicz Dominik Mikiewicz
Author Profile Icon Dominik Mikiewicz
Dominik Mikiewicz
Michal Mackiewicz Michal Mackiewicz
Author Profile Icon Michal Mackiewicz
Michal Mackiewicz
Tomasz Nycz Tomasz Nycz
Author Profile Icon Tomasz Nycz
Tomasz Nycz
George Silva George Silva
Author Profile Icon George Silva
George Silva
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Toc

Table of Contents (10) Chapters Close

Preface 1. Importing Spatial Data FREE CHAPTER 2. Spatial Data Analysis 3. Data Processing - Vector Ops 4. Data Processing - Raster Ops 5. Exporting Spatial Data 6. ETL Using Node.js 7. PostGIS – Creating Simple WebGIS Applications 8. PostGIS Topology 9. pgRouting

Summary

Routing algorithms may be used with some more imagination that the actual road related routing - it is just a matter of defining a specific meaning of a cost of traveling via an edge. With the appropriate data, one can build routing solutions for hiking paths, calculate routes that avoid built-up areas, or take into account some road works that add penalty costs to some edges. It is also possible to calculate drive time zones, and from there, one could go on to defining the best locations of service centers.

As we saw, using pgRouting is rather straightforward and its usage is usually down to select * from <routing_algorythm> (<SQL for edges>, start, end, <options>). This makes it very easy to start with and then, as one becomes more familiar with the available functionality, to tweak the function parameters in order to improve the achieved results.

Exposing the functionality of pgRouting...

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