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)
8
GRASS, Graphical Modelers, and Web Mapping

Fundamentals of GIS Using R and QGIS

In this chapter, we will learn the basics of how geographic information system (GIS) data is handled in R and QGIS and we will also learn about the different facilities provided by these two software for spatial data visualization. The focus will be on understanding the basics of vector data in the light of R and QGIS. Starting with the basics of GIS, projection systems, and the loading and visualization of these data in R and QGIS, we will be covering all of these with hands-on examples. We will start with the basics of spatial (here, vector) data, which will be followed by basic vector data loading and visualization in R, and lastly cover basic vector data loading and visualization again, but this time using QGIS.

Completing this chapter, you will learn about the following topics:

  • The basics of GIS and vector data
  • Coordinate transformation...