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Hands-On Geospatial Analysis with R and QGIS

You're reading from   Hands-On Geospatial Analysis with R and QGIS A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788991674
Length 354 pages
Edition 1st Edition
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Authors (2):
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Brad Hamson Brad Hamson
Author Profile Icon Brad Hamson
Brad Hamson
Shammunul Islam Shammunul Islam
Author Profile Icon Shammunul Islam
Shammunul Islam
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Table of Contents (12) Chapters Close

Preface 1. Setting Up R and QGIS Environments for Geospatial Tasks FREE CHAPTER 2. Fundamentals of GIS Using R and QGIS 3. Creating Geospatial Data 4. Working with Geospatial Data 5. Remote Sensing Using R and QGIS 6. Point Pattern Analysis 7. Spatial Analysis 8. GRASS, Graphical Modelers, and Web Mapping 9. Classification of Remote Sensing Images 10. Landslide Susceptibility Mapping 11. Other Books You May Enjoy

Summary

This chapter introduced you to a slightly advanced concept in QGIS. We focused on using some functionalities of GRASS. GRASS has many other functions that we haven't covered in this chapter and, after getting knowledge from this book on the basics of GRASS, we expect that you will have some comfort in exploring other functionalities independently. This chapter only touched upon some of the key concepts in GRASS GIS that are compatible with QGIS, such as learning how to use a mapset and how to put data inside it. We also learned how to use Processing Toolbox – or, more specifically, a graphical modeler – to automate different spatial tasks. Finally, we learned how to use the gis2web plugin for web mapping directly from QGIS.

In the next chapter, we will familiarize you with the concept of raster image classification using the SCP of QGIS.

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