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Statistical Methods for Spatial Data Analysis (Texts in Statistical Science Series)

By Oliver Schabenberger, Carol A. Gotway,

Publisher: Chapman & Hall/CRC
Number Of Pages: 488
Publication Date: 2004-12-20
Sales Rank: 310174
ISBN / ASIN: 1584883227
EAN: 9781584883227
Binding: Hardcover
Manufacturer: Chapman & Hall/CRC
Studio: Chapman & Hall/CRC
Average Rating: 3.5

Statistical Methods for Spatial Data Analysis is a comprehensive treatment of statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. The volume delivers an up-to-date treatment of semivariogram estimation and modeling and spatial analysis in the spectral domain, as well as a thorough analysis of spatial regression, covering linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data and succinctly discussing Bayesian hierarchical models. It concludes with a review of simulation, non-stationary covariance and spatio-temporal processes.

Review:
definitely technical

but accessible if you have the appropriate background. A great treatment of the underlying theory, without too much obfuscation. The authors include many interesting examples and make available SAS code on their website.

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