The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these 'big data' that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio-Temporal Statistics with R provides an accessible introduction to statistical analysis of spatio-temporal data, with hands-on applications of the statistical methods using R Labs found at the end of each chapter. The book: * Gives a step-by-step approach to analyzing spatio-temporal data, starting with visualization, then statistical modelling, with an emphasis on hierarchical statistical models and basis function expansions, and finishing with model evaluation * Provides a gradual entry to the methodological aspects of spatio-temporal statistics * Provides broad coverage of using R as well as 'R Tips' throughout. * Features detailed examples and applications in end-of-chapter Labs * Features 'Technical Notes'