Statistics For Spatio-Temporal Data

Statistics For Spatio-Temporal Data

RUR 6932.31

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4.1 звезд, основано на 83 отзывах

Winner of the 2013 DeGroot Prize

The PROSE awards, for Professional and Scholarly Excellence, are given by the Association of American Publishers, the national trade association of the US book publishing industry. Statistics for Spatio-Temporal Data has now been reprinted with small corrections to the text and the bibliography

A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods Noel Cressie and Christopher K

Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes

Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes

From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account

It is also a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.

Statistics for Spatio-Temporal Data is an excellent book for a graduate-level course on spatio-temporal statistics

Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models

The overall content and pagination of the new printing remains the same the difference comes in the form of corrections to typographical errors, editing of incomplete and missing references, and some updated spatio-temporal interpretations

Topics of coverage include Exploratory methods for spatio-temporal data, including visualization, spectral analysis, empirical orthogonal function analysis, and LISAs Spatio-temporal covariance functions, spatio-temporal kriging, and time series of spatial processes Development of hierarchical dynamical spatio-temporal models DSTMs , with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation Quantifying and exploring spatio-temporal variability in scientific applications, including case studies based on real-world environmental data Throughout the book, interesting applications demonstrate the relevance of the presented concepts

Vivid, full-color graphics emphasize the visual nature of the topic, and a related FTP site contains supplementary material

Wikle, are also winners of the 2011 PROSE Award in the Mathematics category, for the book Statistics for Spatio-Temporal Data 2011 , published by John Wiley and Sons

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