Publisher description for Statistical methods for spatio-temporal systems / edited by Barbel Finkenstadt, Leonhard Held, Valerie Isham.


Bibliographic record and links to related information available from the Library of Congress catalog


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The first statistics book devoted to spatio-temporal models, Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling that will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. The book describes recent advances and presents a variety of statistical methods, including likelihood-based, nonparametric smoothing, spectral, Fourier, wavelet, and Markov chain Monte Carlo. The methods are illustrated with color images as well as real-world examples, case studies, and applications from epidemiology, geology, and climatology. Key topics include point processes, dynamics, modeling, data analysis, Bayesian methods, and geostatistics.




Library of Congress subject headings for this publication:
Time-series analysis.
Spatial analysis (Statistics)
Space and time -- Statistical methods.