Sudipto Banerjee (University of Minnesota, Minneapolis, USA), Bradley P. Carlin (University of Minnesota, Minneapolis, Minnesota,, Alan E. Gelfand (Duke University, Durham, North Carolina, USA)

Hierarchical Modeling and Analysis for Spatial Data

• Gebundenes Buch

Produktbeschreibung

More than twice the size of its predecessor, this second edition reflects the major growth in spatial statistics as both a research area and an area of application. This edition includes four new chapters on spatial point patterns, big data, spatial and spatiotemporal gradient modeling, and the theoretical aspects of point-referenced modeling. It also expands several other chapters, updates the WinBUGS programs and R packages, doubles the number of exercises, and integrates many more color figures throughout the text.

Produktdetails

• Chapman & Hall/CRC Monographs on Statistics and Applied Probability
• Verlag: Taylor & Francis Inc
• 2 ed
• Seitenzahl: 584
• Erscheinungstermin: 12. September 2014
• Englisch
• Abmessung: 261mm x 184mm x 30mm
• Gewicht: 1362g
• ISBN-13: 9781439819173
• ISBN-10: 1439819173
• Artikelnr.: 40397816

Autorenporträt

Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand

Inhaltsangabe

Overview of Spatial Data Problems. Basics of Point-Referenced Data Models.
Basics of Areal Data Models. Basics of Bayesian Inference. Spatial
Misalignment. Hierarchical Models for Point-Process Data. Hierarchical
Modeling for Univariate Spatial Data. Modeling Large Spatial and
Spatial-Temporal Data Sets. Multivariate Spatial Modeling. Special Topics.
Appendices. References. Author Index. Subject Index.