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Author:   James S. Clark (, Nicholas School of the Environment, Duke University, USA) ,  Alan E. Gelfand (, Institute of Statistics and Decision Sciences, Duke University, USA)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 18.90cm , Height: 1.20cm , Length: 24.60cm
Weight:   0.480kg
ISBN:  

9780198569671

ISBN 10:   019856967
Pages:   216
Publication Date:   04 May 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Preface Part I. Introduction to hierarchical modeling 1: Bradley P. Carlin, James S. Clark and Alan E. Gelfand: Elements of hierarchical Bayesian influence 2: Kent Holsinger: Bayesian hierarchical models in geographical genetics Part II. Hierarchical models in experimental settings 3: James S. Clark and Shannon LaDeau: Synthesizing ecological experiments and observational data with hierarchical Bayes 4: Janneke Hille Ris Lambers, Brian Aukema, Jeff Diez, Margaret Evans and Andrew Latimer: Effects of global change on inflorescence production: a Bayesian hierarchical analysis Part III. Spatial modeling 5: Alan E. Gelfand, Andrew Latimer, Shanshan Wu and John A. Silander, Jr.: Building statistical models to analyse species distributions 6: Kiona Ogle, Maria Uriarte, Jill Thompson, Jill Johnstone, Andy Jones, Yiching Lin, Eliot J. B. McIntire and Jess K. Zimmmerman: Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysis Part IV. Spatio-temporal modeling 7: Li Chen, Montserrat Fuentes and Jerry M. Davis: Spatial temporal statistical modeling and prediction of environmental processes 8: Christopher K. Wikle and Melvin B. Hooten: Hierarchical Bayesian spatio-temporal models for population spread 9: Eric Gilleland, Douglas Nychka and Uli Schneider: Spatial models for the distribution of extremes References Index

Reviews

'...if you are already quite well acqainted with Bayesian concepts and terminology then this book should provide an excellent guide to the application of these advanced statistical techniques within ecology.' Justin Travis, Bulletin of the British Ecological Society 2007 38:1

Author Information

Jim Clark is the Blomquist professor at Duke University, where his research focuses on how global change affects forests and grasslands. He received a B.S. from the North Carolina State University in Entomology (1979), a M.S. from the University of Massachusetts in Forestry and Wildlife (1984), and a Ph.D. from the University of Minnesota in Ecology (1988). At Duke University, Clark teaches Community Ecology and Ecological Models & Data. He has served as the Director of Graduate Studies for the University Program in Ecology and as Director of the Center on Global Change. Alan E. Gelfand is the J B Duke Professor of Statistics and Decision Sciences at Duke University. An early contributor to the development of computational machinery for fitting hierarchical Bayesian models, his current research focuses on the analysis of spatial and spatio-temporal data. His primary areas of application are to problems in environmental science, ecology, and climatology. He received a B.S. from the City College of New York and an M.S. and Ph.D. from Stanford University. After many years at the University of Connecticut, he joined the faculty at Duke University in August 2002.

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