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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

Loading a raster layer

The QGSRasterLayer API provides a convenient, high-level interface to raster data. To use this interface, we must load a layer into QGIS. The API allows you to work with a layer without adding it to the map. In this way, we'll load a layer and then add it to the map.

Getting ready

As with the other recipes in this book, you need to create a directory called qgis_data in our root or user directory, which provides a short path name without spaces. This setup will help prevent any frustrating errors that result from path-related issues on a given system. In this recipe, and the others, we'll use a Landsat satellite image of the Mississippi Gulf Coast, which you can download from https://github.com/GeospatialPython/Learn/raw/master/SatImage.zip.

Unzip the SatImage.tif and SatImage.tfw files and place them in a directory named rasters within your qgis_data directory.

How to do it...

Now we'll go through how to load a raster layer and then add it step by...

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