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Spatio-Temporal Statistics with R
Series: Chapman & Hall/CRC The R Series
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Spatio-Temporal Statistics with R
$9300
Unit price
/
Unavailable
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This book is ideal for students and researchers familiar with calculus-based probability and statistics and comfortable with matrix algebra in statistical models. It is aimed at those seeking a practical, down-to-earth introduction to spatio-temporal statistical analysis using R.
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.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
The world is becoming increasingly complex, with larger quantities of data available to be analysed. 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 analysing spatio-temporal data, starting with visualisation, 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.
- Is 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 analyse spatio-temporal data.
Book Details
INFORMATION
ISBN: 9781138711136
Publisher: Taylor & Francis Ltd
Format: Hardback
Date Published: 18 February 2019
Country: United Kingdom
Imprint: CRC Press
Illustration: 5 Tables, black and white; 75 Illustrations, color; 14 Illustrations, black and white
Audience: Professional and scholarly
DIMENSIONS
Width: 178.0mm
Height: 254.0mm
Weight: 1040g
Pages: 396
About the Author
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, Austr
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