Spatio-temporal statistics with R

Author(s)

Bibliographic Information

Spatio-temporal statistics with R

Christopher K. Wikle, Andrew Zammit-Mangion, Noel Cressie

(The R series)(A Chapman & Hall book)

CRC Press, c2019

  • : hbk

Available at  / 11 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

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.

Table of Contents

1. Introduction to Spatio-Temporal Statistics. 2. Exploring Spatio-Temporal Data. 3. Spatio-Temporal Statistical Models. 4. Descriptive Spatio-Temporal Statistical Models. 5. Dynamic Spatio-Temporal Models. 6. Evaluating Spatio-Temporal Statistical Models. Pergimus (Epilogue). Appendices.

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