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

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...