Spatio-Temporal Statistics with R
CRC Press (Verlag)
978-1-138-37007-4 (ISBN)
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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.
CHRISTOPHER K. WIKLE is Curators' Distinguished Professor and Chair of the Department of Statistics at the University of Missouri, USA. ANDREW ZAMMIT-MANGION is a Discovery Early Career Researcher Award (DECRA) Fellow and Senior Lecturer in the School of Mathematics and Applied Statistics at the University of Wollongong, Australia. NOEL CRESSIE, FAA is Distinguished Professor in the School of Mathematics and Applied Statistics and Director of the Centre for Environmental Informatics at the University of Wollongong, Australia.
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
Pergimus (Epilogue)
Appendices
| Reihe/Serie | Chapman & Hall/CRC: The R Series |
|---|---|
| Zusatzinfo | 5 Tables, black and white; 75 Illustrations, color; 14 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| ISBN-10 | 1-138-37007-X / 113837007X |
| ISBN-13 | 978-1-138-37007-4 / 9781138370074 |
| Zustand | Neuware |
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