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Spatio - temporal statistics with R

By: Wikle, Christopher K.
Contributor(s): Zammit-Mangion, Andrew [Co author] | Cressie, Noel [Co author].
Material type: materialTypeLabelBookSeries: Chapman & Hall/CRC the R series. Publisher: Boca Raton CRC press 2019Description: xv, 380 p. Includes bibliographical references and index.ISBN: 9781138711136.Subject(s): R - Computer program language | Spatial analysis - Statistics | StatisticsDDC classification: 519.537 Summary: 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. https://www.crcpress.com/Spatio-Temporal-Statistics-with-R/Wikle-Zammit-Mangion-Cressie/p/book/9781138711136
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Slot 1428 (0 Floor, East Wing) Non-fiction 519.537 W4S7 (Browse shelf) Not for Issue 200253

Table of Contents

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

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.

https://www.crcpress.com/Spatio-Temporal-Statistics-with-R/Wikle-Zammit-Mangion-Cressie/p/book/9781138711136

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