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Mastering Geospatial Development with QGIS 3.x

You're reading from   Mastering Geospatial Development with QGIS 3.x An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781788999892
Length 466 pages
Edition 3rd Edition
Languages
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Authors (6):
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Luigi Pirelli Luigi Pirelli
Author Profile Icon Luigi Pirelli
Luigi Pirelli
Richard Smith Jr., GISP Richard Smith Jr., GISP
Author Profile Icon Richard Smith Jr., GISP
Richard Smith Jr., GISP
Kurt Menke, GISP Kurt Menke, GISP
Author Profile Icon Kurt Menke, GISP
Kurt Menke, GISP
Shammunul Islam Shammunul Islam
Author Profile Icon Shammunul Islam
Shammunul Islam
John Van Hoesen, GISP John Van Hoesen, GISP
Author Profile Icon John Van Hoesen, GISP
John Van Hoesen, GISP
Simon Miles Simon Miles
Author Profile Icon Simon Miles
Simon Miles
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction FREE CHAPTER
2. A Refreshing Look at QGIS 3. Section 2: Getting Started
4. Styling Raster and Vector Data 5. Creating Spatial Databases 6. Preparing Vector Data for Processing 7. Preparing Raster Data for Processing 8. Section 3: Diving Deeper
9. Advanced Data Creation and Editing 10. Advanced Data Visualization 11. Section 4: Becoming a Master
12. The Processing Toolbox 13. Automating Workflows with the Graphical Modeler 14. Creating QGIS Plugins with PyQGIS and Problem Solving 15. PyQGIS Scripting 16. Other Books You May Enjoy

Reclassifying rasters 

Raster datasets often have hundreds or thousands of values. For an analysis, you may need to synthesize the data into meaningful categories. For example, elevation may be an important input in a habitat model for species X. However, you may only be interested in identifying several broad elevation thresholds that help to define the habitat. In the following example, you will use the elevation.tif data. You will reclassify the elevation data into several categories: less than 2,000 meters, 2,000 to 2,500 meters, and greater than 2,500 meters. This will result in a raster with three values, one for each group of elevation values.

The following steps outline how to use the r.recode GRASS tool (found in the Processing Toolbox) to accomplish this.

If r.recode doesn't open after double clicking or shows error, then...
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