Statistics for Spatio-Temporal Data (Wiley Desktop Editions) Reviews

Statistics for Spatio-Temporal Data (Wiley Desktop Editions) by Noel Cressie (Author), Christopher K. Wikle (Author). A state-of-the-artwork presentation of spatio-temporal processes, bridging traditional ideas with trendy hierarchical statistical modeling ideas and the latest computational strategies

Noel Cressie and Christopher K. Wikle, are winners of the 2011 PROSE Award within the Arithmetic class, for the book “Statistics for Spatio-Temporal Information” (2011), published by John Wiley and Sons. (The PROSE awards, for Skilled and Scholarly Excellence, are given by the Affiliation of American Publishers, the nationwide commerce association of the US e book publishing industry.)

From understanding environmental processes and local weather tendencies for developing new technologies for mapping public-well being data and the unfold of invasive-species, there is an excessive demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Information presents a scientific strategy to key quantitative methods that incorporate the newest advances in statistical computing in addition to hierarchical, notably Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models.

Cressie and Wikle provide a singular presentation that comes with ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate therapies of temporal knowledge and spatial information, the e-book combines these ideas to discuss spatio-temporal statistical methods for understanding complex processes.

Matters of protection embody:

-Exploratory strategies for spatio-temporal knowledge, including visualization, spectral analysis, empirical orthogonal perform evaluation, and LISAs

-Spatio-temporal covariance functions, spatio-temporal kriging, and time collection of spatial processes

-Development of hierarchical dynamical spatio-temporal fashions (DSTMs), with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation

-Quantifying and exploring spatio-temporal variability in scientific purposes, including case research based on real-world environmental information

Throughout the book, interesting functions demonstrate the relevance of the presented concepts. Vivid, full-shade graphics emphasize the visible nature of the topic, and an associated FTP web site incorporates supplementary material. Statistics for Spatio-Temporal Knowledge is a superb ebook for a graduate-stage course on spatio-temporal statistics. It is usually a priceless reference for researchers and practitioners within the fields of applied mathematics, engineering, and the environmental and well being sciences.

This is an excellent piece of work. It is a thorough and clear presentation of the state-of-the-art methods developed by the authors. It articulates a clean vision of a comprehensive framework for the sphere, and shows how that framework will be used to unravel problems. It’s destined to be a classic.

A colleague and I plan to attend a Spacial Statistics course and we each ordered Statistics for Spatio-Temporal Data. (I went to a college bookstore which didn’t have it on their cabinets so that they particular-ordered it. I simply acquired the e-book however I’ve not had time to read it but). The books we each ordered had wonderful print quality.

Statistics for Spatio-Temporal Data (Wiley Desktop Editions)

Noel Cressie (Author), Christopher K. Wikle (Author)

624 pages

Wiley; 1 edition (May 3, 2011)

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