Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie
Chapman and Hall/CRC
February 18, 2019 Forthcoming
Reference - 378 Pages - 75 Color & 14 B/W Illustrations
ISBN 9781138711136 - CAT# K32218
Series: Chapman & Hall/CRC The R Series
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:
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.
Introduction to Spatio-Temporal Statistics
Exploring Spatio-Temporal Data
Spatio-Temporal Statistical Models
Descriptive Spatio-Temporal Statistical Models
Dynamic Spatio-Temporal Models
Evaluating Spatio-Temporal Statistical Models