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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
Languages
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

Summary

We learned how to use different tools in R and QGIS for working with vector data and modifying or creating new data by doing different operations such as merging, clipping, intersecting, creating buffers, and more. We also learned how to use different spatial queries in QGIS and R. In doing so, we have seen how important it is for two different layers to have the same projection system. We haven't touched upon many other tasks, such as using the rgeos package for calculating distance between geometries using gDistance() or using gUnaryUnion() for taking the union of two shapefiles. With the tools you are equipped with now, you can easily understand other functionalities not covered here and should now be able to perform most of these data manipulation tasks. In doing so, you might already have developed some preferences between QGIS and R for performing each operation...

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