Spatiotemporal Data Analysis
Gidon Eshel, Bard College
Princeton University Press, 2012
ISBN: 978-0-691-12891-7;
Language: English
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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