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Mastering QGIS

You're reading from   Mastering QGIS Go beyond the basics and unleash the full power of QGIS with practical, step-by-step examples

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784398682
Length 420 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. A Refreshing Look at QGIS FREE CHAPTER 2. Creating Spatial Databases 3. Styling Raster and Vector Data 4. Preparing Vector Data for Processing 5. Preparing Raster Data for Processing 6. Advanced Data Creation and Editing 7. The Processing Toolbox 8. Automating Workflows with the Graphical Modeler 9. Creating QGIS Plugins with PyQGIS and Problem Solving 10. PyQGIS Scripting Index

R


R is a standalone open source language and environment that is useful for performing statistical analyses and graphically visualizing data. Users typically make use of this language within a command-line interface or a GUI-based software such as RStudio. Within either environment, users can work with geospatial data by installing additional packages such as SP, RGDAL, SpatioTemporal, and so on. However, we can also access a number of these powerful statistical tools through the processing toolbox.

Note

Similar to all the previous algorithm providers, we need to make sure that R is properly configured. Although QGIS gets installed with the required R scripts, in order to run them, we also need to download and install R from http://www.r-project.org/.

The integration of R within QGIS offers access to some highly specialized spatial analysis tools that are focused on home range analysis and point pattern analysis. To explore some of the R algorithms available through the toolbox, we will use...

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