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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

Working with Geospatial Data

This chapter introduces you to different types of spatial data manipulation in R and QGIS. We'll learn how to merge shapefiles and clip our data to a vector file, differences between shapefiles, how to get the intersection of point data and line data, and how to create a buffer around a feature. We'll use R and QGIS to demonstrate these operations and you'll find out that, for some of these operations, R is more convenient than QGIS, and vice versa. All of these techniques are very helpful to have in a geospatial analyst's toolbox.

After completing this chapter, you'll have hands-on knowledge of the following:

  • Combining shapefiles
  • Clipping points to the boundary of a shapefile
  • Difference
  • Intersection between two vector files
  • Creating buffers
  • Calculating the area of polygons
  • Converting vector data types
  • Creating statistical...
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