Geostatistics -- Variogram and covariance models and estimation -- Spatial models and statistical inference -- Isotropy -- Space-time data -- Spatial point patterns -- Isotropy for spatial point patterns -- Multivariate spatial and spatio-temporal models -- Resampling for correlated observations
Summary
In the spatial or space-time context, specifying the correct covariance function is important to obtain efficient predictions and to understand the underlying physical process of interest. There have been several books in recent years in the general area of spatial statistics. This book focuses on covariance and variogram functions, their role in prediction, and the proper choice of these functions in data applications. Presenting recent methods from 2004-2007 alongside more established methodology of assessing the usual assumptions on such functions such as isotropy, separability and symmetry
Bibliography
Includes bibliographical references (pages 251-262) and index
