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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
Tools
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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

Converting a map coordinate to a pixel location


When you receive a map coordinate as user input or from some other source, you must be able to convert it back to the appropriate pixel location on a raster.

Getting ready

We will use the SatImage raster available at https://github.com/GeospatialPython/Learn/raw/master/SatImage.zip

Place this raster in your /qgis_data/rasters directory.

How to do it...

Similar to the previous recipe, we will define a function, extract the GDAL GeoTransform object from our raster, and use it for the conversion.

  1. Start QGIS.

  2. From the Plugins menu, select Python Console.

  3. We need to import the gdal module:

            from osgeo import gdal 
    
  4. Then, we need to define the reusable function that does the coordinate to pixel conversion. We get the GDAL GeoTransform object containing the raster georeferencing information and the map x, y coordinates:

            def world2Pixel(geoMatrix, x, y): 
                ulX = geoMatrix[0] 
                ulY = geoMatrix[3] 
                xDist = geoMatrix...
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