Book Image

Hands-On Geospatial Analysis with R and QGIS

By : Shammunul Islam, Brad Hamson
Book Image

Hands-On Geospatial Analysis with R and QGIS

By: Shammunul Islam, Brad Hamson

Overview of this book

Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier. This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding. Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms. By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.
Table of Contents (12 chapters)
GRASS, Graphical Modelers, and Web Mapping


In this chapter, we have learned how to download and install R and QGIS. We started with the installation of R, following which we also saw the various data types in R and how to work with these in R. Later in this chapter, we studied the programming aspects of R and also learned to use and apply loops and functions. Additionally, we saw how to visualize data in R using the ggplot2 package. Finally, we also learned about installing QGIS and also plugins, and we briefly studied the QGIS desktop.

We have only just scratched the surface of the many functionalities of R and QGIS. We have yet to touch upon working with spatial data, creating a spatial database, conducting spatial data analysis, and so on, which we will be introducing in Chapter 2, Fundamentals of GIS Using R and QGIS. Working with spatial data in R and QGIS requires us to know about the basics of GIS and how spatial data is being handled by R and QGIS, which we will be discussing in detail in Chapter 2. So, let's jump in!