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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

Geometry validation


Invalid geometries are a spatial analyst's nightmare. They can appear in any dataset, and can break a carefully-designed, long-running query in the middle of execution. Or even worse, a failing query might break an application's functionality. Luckily, PostGIS is equipped with the tools to find and repair them.

Simplicity and validity

In PostGIS, there are two concepts: simplicity and validity. For most spatial analyses to succeed, input geometries have to be both simple and valid. Here are some rules:

  • Does not have repeated points (with the exception of closed rings, whose first and last point are identical)
  • Does not self-intersect
  • A point must always be simple and valid
  • A MultiPoint must always be valid, and simple when there are no repeated points with identical coordinates
  • A LineString or MultiLineString must always be valid, and is simple if the line:

Example of a non-simple line: self-intersecting autogenerated contours.

A polygon is always simple, and is valid if:

  • All interior...
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