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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
Languages
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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 2. Querying Vector Data FREE CHAPTER 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

Merging shapefiles


Merging shapefiles with matching projections and attribute structures is a very common operation. In QGIS, the best way to merge vector datasets is to use another GIS system included with QGIS, called SAGA. The OSGeo4W QGIS version for Windows includes SAGA. The KyngChaos distribution of QGIS for OSX includes SAGA. Most other versions and platforms will need SAGA manually installed. In PyQGIS, you access SAGA functions through the Processing Toolbox.

Getting ready

In this recipe, we'll merge some building footprint shapefiles from the adjoining areas into a single shapefile. You can download the sample dataset from the following URL:

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

Extract the zipped shapefiles to a directory named /qgis_data/tiled_footprints.

How to do it...

We will locate all of the .shp files in the data directory and hand them to the saga:mergeshapeslayers to merge them:

  1. Start QGIS.

  2. From the Plugins menu, select Python Console.

  3. We...

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