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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

Spatial interpolation

Spatial interpolation is a technique for predicting spatial data in a place where there is no observed data. This technique uses observed data for interpolation. Now we'll work with arbitrary meteorological data recorded in several locations of areas surrounding Dhaka, Bangladesh. We'll predict temperature at every point of the raster that covers this area. For doing so, we consider the raster of the Digital Elevation Model (DEM) and use its extent to generate a raster and plot point data on this raster. Then, using different interpolation techniques, we'll predict temperatures at every other point of the raster file.

Nearest-neighbor interpolation

We'll then convert this raster data...

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