Spatial Data Analysis and Statistics in R

This online book, titled "An Introduction to Spatial Data Analysis and Statistics: A Course in R," functions as a comprehensive open educational resource. It was developed primarily by Antonio Paez at McMaster University, with significant contributions from a team including Anastassios Dardas, Rajveer Ubhi, Megan Coad, and Alexis Polidoro, and further refinements by John Merrall and Anastasia Soukhov. The project received funding through an Open Educational Resources grant from the MacPherson Institute, McMaster University, making it freely accessible for learning and teaching.

The resource is structured to guide learners through the fundamentals of spatial statistics and data analysis using the R programming language. It begins with foundational topics, including the installation of R and RStudio, followed by an introduction to basic operations and data structures within R. Subsequent sections delve into more advanced concepts, progressively building expertise in applied spatial statistics.

Designed for students and self-learners, this text emphasizes practical application and understanding of spatial data techniques. It serves as an invaluable tool for anyone looking to develop skills in analyzing geographical data and applying statistical methods in a geospatial context, particularly within an open-source environment.