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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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Tools
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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

Working with vector data in R

Due to the contribution of many developers in the form of R packages, we can now use R as a spatial analysis tool to perform different operations on vector data. To master these, we need to know the basics of spatial data manipulation in R. Some R packages, such as sp, rgdal, and rgeos, will be used frequently to accomplish these tasks.

Combining shapefiles in R

In this example, we'll merge two shapefiles of two districts called Dhaka and Gazipur. Now, BGD_adm3_data_re is a shapefile containing all of the districts of Bangladesh as separate polygons. We have the shapefile of Dhaka but not of Gazipur, so we'll create a shapefile of Gazipur before we start merging these two shapefiles...

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