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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


Spatial analysis functions are a key feature for spatial databases, and PostGIS has a very rich set of them. One can compose geometries from raw coordinates, compose geometries into more complex shapes, break down complex shapes into elementary geometries, calculate spatial metrics, and query features based on their location. Spatial analysis functions require the geometries to conform to a specification, so validation and automated repair functions are also provided.

Most spatial analysis functions are easy to understand, but special attention must be paid to coordinate systems. When using latitude-longitude coordinate systems, it's best to use the geography data type to ensure the calculated measurements are correct.

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