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Spatiotemporal Data Analysis

Spatiotemporal Data Analysis

Written for undergraduate and graduate students, Spatiotemporal Data Analysis provides comprehensive coverage to introduce readers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields; including climate science, geophysics, ecology, astrophysics, and medicine. Topics include linear algebra, data analysis, empirical orthogonal functions, SVD analysis, and autocorrelation.

MATLAB is used to solve examples in the book.

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About This Book

Gidon Eshel, Bard College

Princeton University Press, 2012

ISBN: 978-0-691-12891-7
Language: English