Handbook of Spatial Statistics

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Alan E. Gelfand, Peter Diggle, Peter Guttorp, Montserrat Fuentes
CRC Press, 19. märts 2010 - 619 pages
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Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.

The handbook begins with a historical introduction detailing the evolution of the field. It then focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and spatial point patterns. The book also contains a section on space–time work as well as a section on important topics that build upon earlier chapters.

By collecting the major work in the field in one source, along with including an extensive bibliography, this handbook will assist future research efforts. It deftly balances theory and application, strongly emphasizes modeling, and introduces many real data analysis examples.

 

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Contents

Historical Introduction
3
Continuous Spatial Variation
15
Continuous Parameter Stochastic Process Theory
17
Classical Geostatistical Methods
29
LikelihoodBased Methods
45
Spectral Domain
57
Asymptotics for Spatial Processes
79
Hierarchical Modeling with Spatial Data
89
Nonparametric Methods
299
Parametric Methods
317
Modeling Strategies
339
Multivariate and Marked Point Processes
371
Point Process Models and Methods in Spatial Epidemiology
403
SpatioTemporal Processes
425
Continuous Parameter SpatioTemporal Processes
427
Dynamic Spatial Models Including Spatial Time Series
437

LowRank Representations for Spatial Processes
107
Constructions for Nonstationary Spatial Processes
119
Monitoring Network Design
131
NonGaussian and Nonparametric Models forContinuous Spatial Data
149
Discrete Spatial Variation
169
Discrete Spatial Variation
171
Conditional and Intrinsic Autoregressions
201
Disease Mapping
217
Spatial Econometrics
245
Spatial Point Patterns
261
Spatial Point Process Theory
263
Spatial Point Process Models
283
SpatioTemporal Point Processes
449
Modeling Spatial Trajectories
463
Data Assimilation
477
Additional Topics
493
Multivariate Spatial Process Models
495
Misaligned Spatial Data The Change of Support Problem
517
Spatial Aggregation and the Ecological Fallacy
541
Spatial Gradients and Wombling
559
Index
577
Back Cover
609
Copyright

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About the author (2010)

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

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