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QGIS Python Programming Cookbook, Second Edition

QGIS Python Programming Cookbook, Second Edition

By : Joel Lawhead
1.5 (2)
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QGIS Python Programming Cookbook, Second Edition

QGIS Python Programming Cookbook, Second Edition

1.5 (2)
By: Joel Lawhead

Overview of this book

QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. Paired with the most efficient scripting language—Python, we can write effective scripts that extend the core functionality of QGIS. Based on version QGIS 2.18, this book will teach you how to write Python code that works with spatial data to automate geoprocessing tasks in QGIS. It will cover topics such as querying and editing vector data and using raster data. You will also learn to create, edit, and optimize a vector layer for faster queries, reproject a vector layer, reduce the number of vertices in a vector layer without losing critical data, and convert a raster to a vector. Following this, you will work through recipes that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, we’ll also share a few tips and tricks based on different aspects of QGIS.
Table of Contents (10 chapters)
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Resampling raster resolution


Resampling an image allows you to change the current resolution of an image to a different resolution. Resampling to a lower resolution, also known as downsampling, requires you to remove pixels from the image while maintaining the geospatial referencing integrity of the dataset. In the QGIS Processing Toolbox, the gdalogr:warpproject algorithm is used, which is the same as the algorithm used for reprojection.

Getting ready

We will again 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...

There's an extra step in this process where we will get the current pixel resolution of the raster as a reference to calculate the new resolution and pass it to the algorithm. To do this, we need to perform the following steps:

  1. Start QGIS.

  2. From the Plugins menu, select Python Console.

  3. Import the processing module:

            import processing 
    
  4. Load and validate the...

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