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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

Creating Geospatial Data

In previous chapters, we learned how to use R and QGIS for basic geospatial tasks, such as loading vector data, visualizing it, and stylizing it. We've learned the basics of GIS and vector data, how R and QGIS store them, and more. This chapter will introduce you to the creation of data and the editing functionalities of spatial data offered by R and QGIS. We'll be introduced to different data sources and how to download data from one of these sites. Often, we need to create a digitized map from a printed map, and we'll be covering that in this chapter. After this, we'll learn how to create point, line, and polygon data using QGIS. We'll then learn how to add features to a shapefile and how to create and use a spatial database. These skills will enable us to work more efficiently with spatial data.

The following topics will be...

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