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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	Hands-On Geospatial Analysis with R and QGIS
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Preface
	Who this book is for
	What this book covers
	To get the most out of this book
		Download the example code files
		Download the color images
		Conventions used
	Get in touch
		Reviews
Setting Up R and QGIS Environments for Geospatial Tasks
	Installing R
	Basic data types and data structures in R
		Basic data types in R 
		Variable
		Data structures in R 
			Vectors
				Basic operations with vector
			Matrix
			Array
			Data frames
			Lists
			Factor
	Looping, functions, and apply family in R
		Looping in R
		Functions in R
		Apply family – lapply, sapply, apply, tapply
			apply
			lapply
			sapply
			tapply
	Plotting in R
	Installing QGIS
	Getting to know the QGIS environment
	Summary
	Questions
	Further reading
Fundamentals of GIS Using R and QGIS
	GIS in R
		Data types in GIS
			Vector data
			Raster data
		Plotting point data
			Importing point data from Excel
		Plotting lines and polygons data in R
			Adding point data on polygon data
		Changing projection system
		Plotting quantitative and qualitative data on a map
		Using tmap for easier plotting
	Vector data in QGIS
		Adding Excel data in QGIS using joins 
		Adding CSV layers in QGIS 
			Showing multiple labels using text chart diagrams
		Adding a background map
	Summary
	Questions
	Further reading
Creating Geospatial Data
	Getting data from the web
		Downloading data from Natural Earth
		Downloading data from DIVA-GIS
		Downloading data from EarthExplorer
	Creating vector data
		Creating point data
		Creating polygon data
			Adding features to vector data
	Digitizing a map
	Working with databases
		Creating a SpatiaLite database
		Adding a shapefile to a database
	Summary
	Questions
	Further reading
Working with Geospatial Data
	Working with vector data in R
		Combining shapefiles in R
		Clipping in R
		Difference in R
		Area calculation in R
	Working with vector data in QGIS
		Combining shapefiles
		Converting vector data types
			Polygons into lines
			Lines into polygons
		Clipping
		Difference
		Buffer
		Intersection
		Statistical summary of vector layers
		Using field calculators for advanced field calculations
	Summary
Remote Sensing Using R and QGIS
	Basics of remote sensing
		Basic terminologies
		Remote sensing image characteristics
		Atmospheric correction
	Working with raster data in R
		Reading raster data
		Stacking raster data
		Changing the projection system of a raster file
		False color composite
		Slope, aspect, and hillshade
			Slope
			Aspect
			Hillshade
		Normalized Difference Vegetation Index (NDVI)
			Classifying the NDVI
	Working with raster data in QGIS
		False color composite
		Raster mosaic
		Clip raster by mask layer
		Projection system
		Changing projection systems
		Sampling raster data using points
		Reclassifying rasters
		Slope, aspect, and hillshade in QGIS
			Slope
	Summary
	Questions
Point Pattern Analysis
	Introduction to point pattern analysis
		The ppp object
		Creating a ppp object from a CSV file
		Marked point patterns
	Analysis of point patterns
		Quadrat test
		G-function
		K-function
		L-function
		Spatial segregation for a bivariate marked point pattern
	Summary
Spatial Analysis
	Testing autocorrelation
		Preparing data
		Moran's I index for autocorrelation
	Modeling autocorrelation
		Spatial autoregression
	Generalized linear model
		Modeling count data using Poisson GLM
	Spatial interpolation
		Nearest-neighbor interpolation
		Inverse distance weighting 
	Geostatistics
		Some important concepts
		Variograms
		Kriging
			Checking residuals 
	Summary
GRASS, Graphical Modelers, and Web Mapping
	GRASS GIS
		Basics of GRASS GIS
			Database
			Location
			Mapset
		Creating a mapset
		Importing vector data in GRASS
		Importing raster data in GRASS
		False color composite in GRASS
		Graphical modeler
	Web mapping
		Web mapping in QGIS
	Summary
Classification of Remote Sensing Images
	Classification of raster data
	Supervised classification
		Supervised classification in QGIS
		Creating a validation shapefile
	Unsupervised classification
	Summary
Landslide Susceptibility Mapping
	Landslides in Bangladesh
	Landslide susceptibility modeling
		Data preprocessing
		Model building
			Logistic regression
			CART
			Random forest
	Summary
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