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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

Remote Sensing Using R and QGIS

In this chapter, we delve deep into working with raster data in both R and QGIS. So far, we have covered vector data, and this chapter will focus on raster data manipulation and analysis. We'll learn how to use raster data provided by different satellites and how to get meaningful information from this data. Going over reading raster data; changing its projection; and visualizing multispectral images to computing slope, aspect, hillshade, and clipping, we'll cover a lot in this chapter, using both R and QGIS. We'll also cover reclassifying rasters, masking raster by a vector layer, and so on.

The topics covered in this chapter are as follows:

  • Basics of remote sensing
  • Working with raster data in R
  • Working with raster data in QGIS
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