This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1500grams, ISBN:9781439819173.

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Bibliographic Details

Title

Hierarchical Modeling and Analysis for Spatial Data

Publisher

CRC Press

Publication Date

2014

Language

English

ISBN 10

1439819173

ISBN 13

9781439819173

Binding

Hardcover

Edition

2nd Edition

Condition

Fair

Seller catalogs

Science & Technology

About this title

Synopsis

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling

Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling and Analysis for Spatial Data, Second Edition reflects the major growth in spatial statistics as both a research area and an area of application.

New to the Second Edition

New chapter on spatial point patterns developed primarily from a modeling perspective
New chapter on big data that shows how the predictive process handles reasonably large datasets
New chapter on spatial and spatiotemporal gradient modeling that incorporates recent developments in spatial boundary analysis and wombling
New chapter on the theoretical aspects of geostatistical (point-referenced) modeling
Greatly expanded chapters on methods for multivariate and spatiotemporal modeling
New special topics sections on data fusion/assimilation and spatial analysis for data on extremes
Double the number of exercises
Many more color figures integrated throughout the text
Updated computational aspects, including the latest version of WinBUGS, the new flexible spBayes software, and assorted R packages

The Only Comprehensive Treatment of the Theory, Methods, and Software

This second edition continues to provide a complete treatment of the theory, methods, and application of hierarchical modeling for spatial and spatiotemporal data. It tackles current challenges in handling this type of data, with increased emphasis on observational data, big data, and the upsurge of associated software tools. The authors also explore important application domains, including environmental science, forestry, public health, and real estate.

About the Author

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

"About this title" may belong to another edition of this title.

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