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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

In this chapter, we learned about the basics of GIS and learned particularly how vector data is stored in R and QGIS. We learned to import point data from an Excel file and how to plot it on a map in R. We used the ggmap package of R to accomplish this task along with various options for plotting these. The sp package of R has six main classes for dealing with spatial data: SpatialPoints, SpatialPointsDataFrame, SpatialLines, SpatialLinesDataFrame, SpatialPolygons, and SpatialPolygonsDataFrame. We learned to use the readOGR() function of the sp package for importing shapefiles containing different vector classes. In this chapter, we also learned to visualize quantitative and qualitative data in R.

We also learned how to use QGIS for vector data importation and how to visualize those. Importing Excel files to QGIS was also discussed, along with visualizing quantitative...

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