Model-based Geostatistics

• Main Authors: Diggle, Peter J. (Author), Ribeiro, Paulo J. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2007.
• Series: Springer Series in Statistics,
• Subjects: Earth sciences.; Statistics.; Earth Sciences.; Earth Sciences, general.; Statistical Theory and Methods.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained at a limited number of spatial locations. The name reflects its origins in mineral exploration, but the methods are now used in a wide range of settings including public health...

Table of Contents:

• An overview of model-based geostatistics
• Gaussian models for geostatistical data
• Generalized linear models for geostatistical data
• Classical parameter estimation
• Spatial prediction
• Bayesian inference
• Geostatistical design.