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  • Book Overview & Buying QGIS Python Programming Cookbook
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QGIS Python Programming Cookbook

QGIS Python Programming Cookbook

By : Joel Lawhead
3.8 (6)
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QGIS Python Programming Cookbook

QGIS Python Programming Cookbook

3.8 (6)
By: Joel Lawhead

Overview of this book

If you are a geospatial analyst who wants to learn more about automating everyday GIS tasks or a programmer who is responsible for building GIS applications,this book is for you. The short, reusable recipes make concepts easy to understand. You can build larger applications that are easy to maintain when they are put together.
Table of Contents (11 chapters)
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10
Index

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 on Windows and OSX called SAGA. On other platforms, you must install SAGA separately and activate it in the Processing Toolbox configuration. In PyQGIS, you can access SAGA functions through the Processing Toolbox. SAGA is yet another open source GIS that is similar to QGIS. However, both packages have strengths and weaknesses. By using SAGA through the Processing Toolbox, you can have the best of both systems.

Getting ready

In this recipe, we'll merge some building footprint shapefiles from adjoining areas into a single shapefile. You can download the sample dataset from https://geospatialpython.googlecode.com/files/tiled_footprints.zip.

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

How to do it...

We will locate all the .shp files in the data directory...

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Tech Concepts
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Programming languages
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QGIS Python Programming Cookbook
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