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 throughout to provide additional technical detail where relevant Supplemented by a website featuring the associated R package data reviews errata a discussion forum and more The book fills a void in the literature and available software providing a bridge for students and researchers alike who wish to learn the basics of spatio-temporal statistics. It is written in an informal style and functions as a down-to-earth introduction to the subject. Any reader familiar with calculus-based probability and statistics and who is comfortable with basic matrix-algebra representations of statistical models would find this book easy to follow. The goal is to give as many people as possible the tools and confidence to analyze spatio-temporal data. . Language: English