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Mastering Geospatial Development with QGIS 3.x

Mastering Geospatial Development with QGIS 3.x

By : Islam, Miles, Kurt Menke, GISP, Smith Jr., GISP, Pirelli, Van Hoesen, GISP
4 (1)
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Mastering Geospatial Development with QGIS 3.x

Mastering Geospatial Development with QGIS 3.x

4 (1)
By: Islam, Miles, Kurt Menke, GISP, Smith Jr., GISP, Pirelli, Van Hoesen, GISP

Overview of this book

QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work.
Table of Contents (17 chapters)
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1
Section 1: Introduction
3
Section 2: Getting Started
8
Section 3: Diving Deeper
11
Section 4: Becoming a Master

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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