Presents a vision for an introductory and accessible textbook on geographic data analysis, modelling, and visualisation with R. The discipline of Geography captures each of these things, as well as content to get R beginners up-to-speed with R in general.

Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems.

Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes.

Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping.

All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

An introduction to R for spatial data. Loading and saving geographical data. Working with attribute data. Basic map making. Spatial classes. Coordinate systems/reprojecting. Working with vector data. Working with raster data. Raster-vector interaction. Kriging and spatial interpolation. Spatial data modelling. Advanced map making. Examples of applications.