Applied Spatial Statistics and Econometrics : Data Analysis in R

Cover -- Half Title -- Series -- Title -- Copyright -- Contents -- List of figures -- List of tables -- List of contributors -- Introduction -- Statement by the American Statistical Association on statistical significance and p-value - use in the book -- Acknowledgements -- 1 Basic operations in the R software -- 1.1 About the R software -- 1.2 The R software interface -- 1.2.1 R Commander -- 1.2.2 RStudio -- 1.3 Using help -- 1.4 Additional packages -- 1.5 R language - basic features -- 1.6 Defining and loading data -- 1.7 Basic operations on objects -- 1.8 Basic statistics of the dataset -- 1.9 Basic visualisations -- 1.9.1 Scatterplot and line chart -- 1.9.2 Column chart -- 1.9.3 Pie chart -- 1.9.4 Boxplot -- 1.10 Regression in examples -- 2 Data, spatial classes and basic graphics -- 2.1 Loading and basic operations on spatial vector data -- 2.2 Creating, checking and converting spatial classes -- 2.3 Selected colour palettes -- 2.4 Basic contour maps with a colour layer -- Scheme 1 - with colorRampPalette() from the grDevices:: package -- Scheme 2 - with choropleth() from the GISTools:: package -- Scheme 3 - with findInterval() from the base:: package -- Scheme 4 - with findColours() from the classInt:: package -- Scheme 5 - with spplot() from the sp:: package -- 2.5 Basic operations and graphs for point data -- Scheme 1 - with points() from the graphics:: package - locations only -- Scheme 2 - with spplot() from the sp:: package - locations and values -- Scheme 3 - with findInterval() from the base:: package - locations, values, different size of symbols -- 2.6 Basic operations on rasters -- 2.7 Basic operations on grids -- 2.8 Spatial geometries -- 3 Spatial data with Web APIs -- 3.1 What is an application programming interface (API)? -- 3.2 Creating background maps with use of an application programming interface.