04124nam 2200745Ia 450 991096707530332120260210031640.097810400681991040068197978042913650404291365019781420072884142007288910.1201/9781420072884(CKB)2670000000034669(EBL)555701(OCoLC)652826600(SSID)ssj0000419281(PQKBManifestationID)11261496(PQKBTitleCode)TC0000419281(PQKBWorkID)10382519(PQKB)10709893(Au-PeEL)EBL555701(CaPaEBR)ebr10400638(CaONFJC)MIL692804(OCoLC)773198671(FINmELB)ELB154326(MiAaPQ)EBC555701(EXLCZ)99267000000003466920091120d2010 uy 0engur|n|---|||||txtccrHandbook of spatial statistics /by Alan E. Gelfand ... [et al.]1st ed.Boca Raton, Fla. ;London CRC20101 online resource (622 p.)Chapman & Hall/CRC handbooks of modern statistical methods ;2Description based upon print version of record.9781322615226 1322615225 9781420072877 1420072870 Includes bibliographical references and index.Front 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 DesignChapter 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 ProcessesChater 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 WomblingIndexBack CoverOffers 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.Chapman & Hall/CRC handbooks of modern statistical methods ;2.Spatial analysis (Statistics)StatisticsSpatial analysis (Statistics)Statistics.519.5Gelfand Alan E.1945-460540MiAaPQMiAaPQMiAaPQBOOK9910967075303321Handbook of spatial statistics4535356UNINA