Statistical Methods for Spatial Data Analysis

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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 hierarchica...

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"...well-presented research-level text with interesting examples and an extensive reference list, much of which relates to work which has appeared during the last five years or so."
International Statistics Institute, 2005

"This book tackles spatial data analysis from a statistician's point of view. It provides a very natural bridge to spatial data analysis for the classically trained statistician who is familiar with linear models and the like. In terms of detail, it is at a very good level for its stated audience of a graduate class in spatial statistics; there is much useful information....The authors have made a tightly written and well-planned contribution that updates much relevant material and provides welcome and