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Handbook of Spatial Statistics
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Table of Contents

Introduction Historical Introduction, Peter J. Diggle Continuous Spatial Variation Continuous Parameter Stochastic Process Theory, Tilmann Gneiting and Peter Guttorp Classical Geostatistical Methods, Dale L. Zimmerman and Michael Stein Likelihood-Based Methods, Dale L. Zimmerman Spectral Domain, Montserrat Fuentes and Brian Reich Asymptotics for Spatial Processes, Michael Stein Hierarchical Modeling with Spatial Data, Christopher K. Wikle Low Rank Representations for Spatial Processes, Christopher K. Wikle Constructions for Nonstationary Spatial Processes, Paul D. Sampson Monitoring Network Design, James V. Zidek and Dale L. Zimmerman Non-Gaussian and Nonparametric Models for Continuous Spatial Data, Mark F.J. Steel and Montserrat Fuentes Discrete Spatial Variation Discrete Spatial Variation, Havard Rue and Leonard Held Conditional and Intrinsic Autoregressions, Leonhard Held and Havard Rue Disease Mapping, Lance Waller and Brad Carlin Spatial Econometrics, R. Kelley Pace and James LeSage Spatial Point Patterns Spatial Point Process Theory, Marie-Colette van Lieshout Spatial Point Process Models, Valerie Isham Nonparametric Methods, Peter J. Diggle Parametric Methods, Jesper Moller Modeling Strategies, Adrian Baddeley Multivariate and Marked Point Processes, Adrian Baddeley Point Process Models and Methods in Spatial Epidemiology, Lance Waller Spatio-Temporal Processes Continuous Parameter Spatio-Temporal Processes, Tilmann Gneiting and Peter Guttorp Dynamic Spatial Models Including Spatial Time Series, Dani Gamerman Spatio-Temporal Point Processes, Peter J. Diggle and Edith Gabriel Modeling Spatial Trajectories, David R. Brillinger Data Assimilation, Douglas W. Nychka and Jeffrey L. Anderson Additional Topics Multivariate Spatial Process Models, Alan E. Gelfand and Sudipto Banerjee Misaligned Spatial Data: The Change of Support Problem, Alan E. Gelfand Spatial Aggregation and the Ecological Fallacy, Jonathan Wakefield and Hilary Lyons Spatial Gradients and Wombling, Sudipto Banerjee Index

About the Author

Alan E. Gelfand, Department of Statistical Science, Duke University, Durham, North Carolina, USA Peter J. Diggle, School of Health and Medicine, Lancaster University, UK Montserrat Fuentes, Department of Statistics, North Carolina State University, Raleigh, USA Peter Guttorp, Department of Statistics, University of Washington, Seattle, USA, and Norwegian Computing Center, Oslo, Norway

Reviews

This book is certainly bound to become an influential classic in the field of spatial statistics. ! reading it surpassed the expectations. It is a comprehensive piece of work that summarizes current state of the developments of the spatial statistics in its multitude. The range of topics covered is impressive ! useful and enlightening for a wide scope of readers -- from beginners to rather specialized researchers ! Readers with an ISCB background will benefit from reading this book in many ways. ! this book really sets the standard for modern spatial statistics as a field for years to come. Anybody even mildly interested in the theory or applications of various parts of spatial statistics should read it, or even better, to have it handy as an authoritative and remarkably useful reference. --ISCB News, No. 51, June 2011 ! the chapters have a very good scientific quality ! the reading [is] rather easy and pleasant ! the book thoroughly covers the field of spatial statistics and deserves its name of 'handbook.' It will be useful to specialists of spatial statistics as a reference book, and also to those who wish to learn the methods used in this field. --Biometrics, June 2011 ! an exciting handbook, aiming to present a comprehensive treatment of both classical and state-of-the-art topics in the area of spatial statistics. ! this book is thoroughly edited and provides comprehensive, coherent, and unified summaries of specific methodological topics from spatial statistics. All the chapters were written by leading researchers in spatial statistics, with a good balance of theory and application through a synthesis of the key methodological developments and examples and case studies using real spatial data. ! It is deeply impressive that the handbook covers such a wide range of topics ranging from spatial to spatial--temporal processes. ! a valuable handbook for all researchers in spatial statistics, the biostatisticians interested in spatial epidemiology and ecology, and those who need up-to-date guidance in applying modern spatial methods to real data. I enjoyed reading this book very much and I would recommend it ! --Statistics in Medicine, 2011, 30 As spatial statistics is an important, fast growing field of statistics, it was time to publish a book like this which can be seen as a successor of the famous work by Noel Cressie. The authors are all high-ranked statisticians with great experience in both teaching and research. ! The editors are to be credited for their achievement to unite so many methods of spatial statistics in one volume. The reviewer is sure that this will lead to great progress in spatial statistics ! the reviewer warmly recommends this great volume to all spatial statisticians. ! --Biometrical Journal, 53 (2011), 1 ! The time has come for a new reference book in spatial statistics. This handbook remarkably achieves this aim. ! The editorial quality of the book is absolutely remarkable. ! In some chapters, R or WinBugs code is made available. I strongly recommend Handbook of Spatial Statistics as a textbook for an advanced class in spatial statistics and as a reference book for anyone dealing with spatial data. It will definitely be one of my favorite books in the field for years to come, and I am convinced that it will be the case for many scientists. ! --Statistics and Computing, October 2010

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