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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

Landslide susceptibility modeling

For landslide susceptibility analysis, we will follow these steps:

  1. We will load a digital elevation model (DEM) from SRTM (provided in the Data folder of Chapter10).
  2. Compute the slope from this DEM.
  3. Reproject each file to the same projection system so that we can compare one with another.
  4. Extract the elevation and slope values corresponding to the landslide location using the DEM file and the computed slope.
  5. Classify areas as safe or unsafe using the range of slopes within which landslides have occurred.
  6. Get random points in the safe zone and extract their elevation and slope values.
  7. Using the elevation and slope values from both the unsafe and safe locations, fit a logistic regression model.
  8. Using the coefficient of the fitted model, make a landslide susceptibility map.
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