Spatio-Temporal Statistics with R Contributor(s): Wikle, Christopher K. (Author), Zammit-Mangion, Andrew (Author), Cressie, Noel (Author) |
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ISBN: 1138711136 ISBN-13: 9781138711136 Publisher: CRC Press OUR PRICE: $63.64 Product Type: Hardcover - Other Formats Published: February 2019 |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - General - Reference |
Dewey: 519.537 |
LCCN: 2018048440 |
Series: Chapman & Hall/CRC the R |
Physical Information: 1" H x 7" W x 10" (2.20 lbs) 380 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |