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QGIS Python Programming Cookbook, Second Edition

You're reading from   QGIS Python Programming Cookbook, Second Edition Automating geospatial development

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787124837
Length 464 pages
Edition 2nd Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (10) Chapters Close

Preface 1. Automating QGIS FREE CHAPTER 2. Querying Vector Data 3. Editing Vector Data 4. Using Raster Data 5. Creating Dynamic Maps 6. Composing Static Maps 7. Interacting with the User 8. QGIS Workflows 9. Other Tips and Tricks

Generalizing a vector layer


Generalizing geometry, also known as simplifying, removes points from a vector layer to reduce the space required to store the data. Otherwise, simplification may result in small but acceptable changes within a specified tolerance.

Getting ready

For this recipe, we will use a boundary file for the state of Mississippi, which you can download from the following URL:

https://github.com/GeospatialPython/Learn/raw/master/Mississippi.zip

Extract the zipped shapefile to a directory named /qgis_data/ms.

How to do it...

Generalizing is native to QGIS, but we will access it in PyQGIS through the Processing Toolbox using the qgis:simplifygeometries algorithm.

  1. Start QGIS.

  2. From the Plugins menu, select Python Console.

  3. Import the processing module:

            import processing 
    
  4. Now, we run the processing algorithm specifying the algorithm name, the input data, a tolerance value spacing between points, and the output dataset name:

            processing.runandload("qgis:simplifygeometries...
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