Spatio-Temporal Statistics with R

<p>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.</p><p><strong>Spatio-Temporal Statistics with R </strong>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:</p><ul> <li>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</li> <li>Provides a gradual entry to the methodological aspects of spatio-temporal statistics</li> <li>Provides broad coverage of using R as well as R Tips throughout.</li> <li>Features detailed examples and applications in end-of-chapter Labs</li> <li>Features Technical Notes throughout to provide additional technical detail where relevant</li> <li>Supplemented by a website featuring the associated R package data reviews errata a discussion forum and more</li> </ul><p>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.</p>