Model-Based Geostatistics

2007. Auflage 2007
ISBN: 978-0-387-32907-9
Verlag: Springer

Buch, Englisch, 232 Seiten, Format (B × H): 161 mm x 241 mm, Gewicht: 1160 g

Reihe: Springer Series in Statistics

This volume is the first book-length treatment of model-based geostatistics. The text is expository, emphasizing statistical methods and applications rather than the underlying mathematical theory. Analyses of datasets from a range of scientific contexts feature prominently, and simulations are used to illustrate theoretical results. Readers can reproduce most of the computational results in the book by using the authors' software package, geoR, whose usage is illustrated in a computation section at the end of each chapter. The book assumes a working knowledge of classical and Bayesian methods of inference, linear models, and generalized linear models.

Zielgruppe

Research

Autoren/Hrsg.

Diggle, Peter

Ribeiro, Paulo Justiniano

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Geowissenschaften Geologie GIS, Geoinformatik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

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.