Handbook of spatial statistics / / by Alan E. Gelfand ... [et al.]

• Record Nr.: UNINA9910967075303321
• Pubbl/distr/stampa: Boca Raton, Fla. ; ; London, : CRC, 2010
• ISBN: 9781040068199; 1040068197; 9780429136504; 0429136501; 9781420072884; 1420072889
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (622 p.)
• Collana: Chapman & Hall/CRC handbooks of modern statistical methods ; ; 2
• Altri autori (Persone): GelfandAlan E. <1945->
• Disciplina: 519.5
• Soggetti: Spatial analysis (Statistics); Statistics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 Design; Chapter 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; Chater 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; IndexBack Cover
• Sommario/riassunto: Offers 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.