Statistics for spatio-temporal data

Statistics for spatio-temporal data

Cressie, Noel
Wikle, Christopher K.

74,38 €(IVA inc.)

INDICE: List of Figures. List of Tables. Preface. 1. Space-Time: The Next Frontier. 2. Statistical Preliminaries. 2.1 Conditional Probabilities and Hierarchical Modeling (HM). 2.2 Inference and Diagnostics. 2.3 Computation of the Posterior Distribution. 2.4 Graphical Representations of Statistical Dependencies. 2.5 Data/Model/Computing Compromises. 3. Fundamentals of Temporal Processes. 3.1 Characterization of Temporal Processes. 3.2 Introduction to Deterministic Dynamical Systems. 3.3 Time Series Preliminaries. 3.4 Basic Time Series Models. 3.5 Spectral Representation of Temporal Processes. 3.6 Hierarchical Modeling of Time Series. 3.7 Bibliographic Notes. 4. Fundamentals of Spatial RandomProcesses. 4.1 Geostatistical processes. 4.2 Lattice Processes. 4.3 Spatial Point Processes. 4.4 Random Sets. 4.5 Bibliographic Notes. 5. Exploratory Methods for Spatio-Temporal Data. 5.1 Visualization. 5.2 Spectral Analysis. 5.3 Empirical Orthogonal Function (EOF) Analysis. 5.4 Extensions of EOF Analysis. 5.5Principal Oscillation Patterns (POPs). 5.6 Spatio-Temporal Canonical Correlation Analysis (CCA). 5.7 Spatio-Temporal Field Comparisons. 5.8 Bibliographic Notes. 6. Spatio-Temporal Statistical Models. 6.1 Spatio-temporal covariance functions. 6.2 Spatio-temporal Kriging. 6.3 Stochastic Differential and Difference Equations. 6.4 Time Series of Spatial Processes. 6.5 Spatio-temporal point processes. 6.6 Spatio-Temporal Components-of-variations Models. 6.7 Bibliographic Notes. 7. Hierarchical Dynamical Spatio-Temporal Models. 7.1 Data Models for the DSTM. 7.2 Process Models for the DSTM: LinearModels. 7.3 Process Modelsfor the DSTM: NonlinearModels. 7.4 Process Models for the DSTM: Multivariate Models. 7.5 DSTM ParameterModels. 7.6 Dynamical Design of Monitoring Networks.7.7 Switching the Emphasis of Time and Space. 7.8 Bibliographic Notes. 8. Hierarchical DSTMs: Implementation and Inference. 8.1 DSTM Process: General Implementation and Inference. 8.2 Inference for the DSTM Process: Linear/Gaussian Models. 8.3 Inference for the DSTM Parameters: Linear/Gaussian Models. 8.4 Inference for the DSTM HM: Nonlinear/Non-GaussianModels. 8.5 Bibliographic Notes. 9. Hierarchical DSTMs: Examples. 9.1 Long-Lead Forecasting of Tropical PacificSea Surface Temperatures. 9.2 Remotely Sensed Aerosol Optical Depth. 9.3 Modeling and Forecasting the Eurasian Collared Dove Invasion. 9.4 Mediterranean Surface VectorWinds. 10. Epilogue. References.

  • ISBN: 978-0-471-69274-4
  • Editorial: John Wiley & Sons
  • Encuadernacion: Cartoné
  • Páginas: 588
  • Fecha Publicación: 25/02/2011
  • Nº Volúmenes: 1
  • Idioma: Inglés