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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 2. Fundamentals of GIS Using R and QGIS FREE CHAPTER 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

GIS in R

GIS is a combination of software and data that informs us about the location of something and its relation to others. In GIS, every dataset is associated with a coordinate system, which is a system for representing the locations of different geographic features and different measurements. There are two main types of coordinate systems: geographic coordinate systems (GCS) and projected coordination systems. One example of GCS is using latitude-longitude, and one example of a projected coordination system is the transverse Mercator system. Whereas GCS uses a three-dimensional spherical surface, the projected coordination system uses two dimensions for representing spatial data. Data is used in GCS to define the position of the spheroid in relation to the center of the earth; a very commonly used GCS is WGS 84.

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You have been reading a chapter from
Hands-On Geospatial Analysis with R and QGIS
Published in: Nov 2018
Publisher: Packt
ISBN-13: 9781788991674
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