Schabenberger, Oliver

Statistical Methods for Spatial Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

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ISBN 13:
9781032477916
author:
Schabenberger, Oliver
format:
Paperback
publisher:
CRC Press
language:
English
Publication Year:
2023
Pages:
504
Dimensions:
25.4 x 17.8 x 2.6 centimetres (1
Genre:
Science, Earth Sciences, Geology,
Condition:
New
Availability:
Item usually sent within 10 working days
£54.09

Description

Statistical Methods for Spatial Data Analysis by Oliver Schabenberger and Carol A. Gotway provides a comprehensive balance between theoretical foundations and practical methods for spatial data analysis. This book explores the unique characteristics of spatial data, introducing essential tools and approaches such as measures of autocorrelation, random fields, and spatial prediction. It delves into the analysis of mapped spatial point patterns, estimation and modeling of the covariance function and semivariogram, and provides a thorough treatment of spatial regression, including linear models with uncorrelated errors, spatially-correlated errors, and generalized linear mixed models. The book also discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material is available on the CRC Press website to supplement the content of this book, making it a valuable resource for those working in applied statistics, geology, remote sensing, or other fields where spatial data analysis is relevant.

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