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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

Topology-aware simplification


A very useful feature of a topology is the ability to simplify the feature geometry while maintaining its topological relationships. As we learned in Chapter 2, Spatial Data Analysis, the ST_SimplifyPreserveTopology function doesn't do that, despite its name. In this section, we will learn how to simplify features using topology functions.

Importing sample data

The data used as an example is extracted from the Czech hydrological dataset. Its location was mentioned at the beginning of the chapter, in the The data section. Now we'll import a DIBAVOD watershed layer into a database using ogr2ogr:

ogr2ogr -t_srs EPSG:32633 -f PostgreSQL "PG:dbname=mastering_postgis host=localhost user=osm password=osm" -lco GEOMETRY_NAME=geom -lco PRECISION=no -nln watershed_ord3  A08_Povodi_III.shp 

Next, we will convert the Simple Feature geometry to a topology with 2-meter precision:

SELECT topology.CreateTopology('water_topology', 32633, 1, FALSE); 
SELECT topology.AddTopoGeometryColumn...
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