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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 Sep 2016
Publisher Packt
ISBN-13 9781786460370
Length 486 pages
Edition 2nd Edition
Tools
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Authors (5):
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John Van Hoesen, GISP John Van Hoesen, GISP
Author Profile Icon John Van Hoesen, GISP
John Van Hoesen, GISP
Kurt Menke, GISP Kurt Menke, GISP
Author Profile Icon Kurt Menke, GISP
Kurt Menke, GISP
Paolo Corti Paolo Corti
Author Profile Icon Paolo Corti
Paolo Corti
Richard Smith Jr., GISP Richard Smith Jr., GISP
Author Profile Icon Richard Smith Jr., GISP
Richard Smith Jr., GISP
Luigi Pirelli Luigi Pirelli
Author Profile Icon Luigi Pirelli
Luigi Pirelli
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Toc

Table of Contents (13) Chapters Close

Preface 1. A Refreshing Look at QGIS 2. Creating Spatial Databases FREE CHAPTER 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. Advanced Data Visualization 8. The Processing Toolbox 9. Automating Workflows with the Graphical Modeler 10. Creating QGIS Plugins with PyQGIS and Problem Solving 11. 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 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 our...

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