Hierarchical Modeling and Analysis for Spatial Data - Chapman & Hall / CRC Monographs on Statistics and Applied Probability - Banerjee, Sudipto (University of California, Los Angeles, USA) - Books - Taylor & Francis Inc - 9781439819173 - September 12, 2014
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Hierarchical Modeling and Analysis for Spatial Data - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 2nd edition

Banerjee, Sudipto (University of California, Los Angeles, USA)

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Hierarchical Modeling and Analysis for Spatial Data - Chapman & Hall / CRC Monographs on Statistics and Applied Probability 2nd edition

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 modelingfor 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.


584 pages, 177 black & white illustrations, 70 black & white tables

Media Books     Hardcover Book   (Book with hard spine and cover)
Released September 12, 2014
ISBN13 9781439819173
Publishers Taylor & Francis Inc
Pages 584
Dimensions 258 × 189 × 27 mm   ·   1.36 kg
Language English  
Series Editor Isham, Valerie
Series Editor Keiding, Niels (University of Copenhagen, Denmark)
Series Editor Louis, Thomas A. (Johns Hopkins Bloomberg School of Public Health, MD, USA Johns Hopkins Bloomberg School of Public Health, Baltimore, Johns Hopkins Bloomberg, Baltimore, Maryland, USA)
Series Editor Tong, Howell (London School of Economics, UK London School of Economics, UK)