A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to answer important questions like these is to analyze the spatial and temporal characteristics - origin, rates, and frequencies - of these phenomena. This comprehensive text introduces advanced undergraduate students, graduate students, and researchers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields, including climate science, geophysics, ecology, astrophysics, and medicine. Gidon Eshel begins with a concise yet detailed primer on linear algebra, providing readers with the mathematical foundations needed for data analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced applications. This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams.

About the Author
Gidon Eshel is Bard Center Fellow at Bard College.

Reviews
"I believe practitioners and theoreticians from many diverse fields will find the book comprehensive, detailed and beneficial. The material is applicable to a broad range of topics, and the author has a clear presentation with an in-class lecturing tone."--Elvan Ceyhan, Mathematical Reviews Clippings



Book Information
ISBN 9780691128917
Author Gidon Eshel
Format Hardback
Page Count 368
Imprint Princeton University Press
Publisher Princeton University Press
Weight(grams) 567g