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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


Vector operation functions can be used as a rich geoprocessing toolbox, all without leaving the database environment. Using nothing but Spatial SQL, one can split and merge features, reproject them, create buffers and hulls, offset geometries, and much more. And when it comes to querying, PostGIS offers fine-grained spatial relationship functions to pick only specific features. This wouldn't be possible without a rich open source GIS ecosystem; the geoprocessing and spatial relationship functions are available thanks to the GEOS library, and reprojections are done with the help of the PROJ.4 library. Other database vendors often choose to implement spatial functions from scratch, and stick to a moderate set of functions defined in the OGC specification. The geoprocessing toolbox is one of PostGIS's greatest strengths. This toolbox is not limited to vector data manipulation. In the next chapter, we will discuss the functions available for raster data processing.

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