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035   $a(OCoLC)652826600
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100   $a20091120d2010      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aHandbook of spatial statistics /$fby Alan E. Gelfand ... [et al.]
205   $a1st ed.
210   $aBoca Raton, Fla. ;$aLondon $cCRC$d2010
215   $a1 online resource (622 p.)
225 1 $aChapman & Hall/CRC handbooks of modern statistical methods ;$v2
300   $aDescription based upon print version of record.
311 08$a9781322615226 
311 08$a1322615225 
311 08$a9781420072877 
311 08$a1420072870 
320   $aIncludes bibliographical references and index.
327   $aFront Cover; Contents; Preface; List of Contributors; Part I; Body; Chapter 1: Historical Introduction; Part II: Continuous Spatial Variation; Chapter 2: Continuous Parameter Stochastic Process Theory; Chapter 3: Classical Geostatistical Methods; Chapter 4: Likelihood-Based Methods; Chapter 5: Spectral Domain; Chapter 6: Asymptotics for Spatial Processes; Chapter 7: Hierarchical Modeling with Spatial Data; Chapter 8: Low-Rank Representations for Spatial Processes; Chapter 9: Constructions for Nonstationary Spatial Processes; Chapter 10: Monitoring Network Design
327   $aChapter 11: Non-Gaussian and Nonparametric Models forContinuous Spatial DataPart III: Discrete Spatial Variation; Chapter 12: Discrete Spatial Variation; Chapter 13: Conditional and Intrinsic Autoregressions; Chapter 14: Disease Mapping; Chapter 15: Spatial Econometrics; Part IV: Spatial Point Patterns; Chapter 16: Spatial Point Process Theory; Chapter 17: Spatial Point Process Models; Chapter 18: Nonparametric Methods; Chapter 19: Parametric Methods; Chapter 20: Modeling Strategies; Chapter 21: Multivariate and Marked Point Processes
327   $aChater 22: Point Process Models and Methods in Spatial EpidemiologyPart V: Spatio-Temporal Processes; Chapter 23: Continuous Parameter Spatio-Temporal Processes; Chapter 24: Dynamic Spatial Models Including Spatial Time Series; Chapter 25: Spatio-Temporal Point Processes; Chapter 26: Modeling Spatial Trajectories; Chapter 27: Data Assimilation; Part VI: Additional Topics; Chapter 28: Multivariate Spatial Process Models; Chapter 29: Misaligned Spatial Data: The Change of Support Problem; Chapter 30: Spatial Aggregation and the Ecological Fallacy; Chapter 31: Spatial Gradients and Wombling
327   $aIndexBack Cover
330   $aOffers an introduction detailing the evolution of the field of spatial statistics. This title focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and, spatial point patterns.
410  0$aChapman & Hall/CRC handbooks of modern statistical methods ;$v2.
606   $aSpatial analysis (Statistics)
606   $aStatistics
615  0$aSpatial analysis (Statistics)
615  0$aStatistics.
676   $a519.5
701   $aGelfand$b Alan E.$f1945-$0460540
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910967075303321
996   $aHandbook of spatial statistics$94535356
997   $aUNINA