Spatial Statistics

ISBN-10: 1420072870

ISBN-13: 9781420072877

Edition: 2010 (Handbook (Instructor's))

List price: $121.95
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The past few decades have seen a huge increase in the amount of spatial statistics research. This single volume provides a comprehensive, coherent, and unified summary of the entire field. Divided into broad sections, the text addresses topics in the areas of continuous spatial variation, discrete spatial variation, spatial point patterns, and spatio-temporal analysis. A separate section presents additional topics of interest, such as boundary analysis, ecological bias, and multivariate spatial process models. Leading contributors present balanced coverage of methodology and practical application through the inclusion of worked examples using real data as well as detailed case studies.
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Book details

List price: $121.95
Copyright year: 2010
Publisher: CRC Press LLC
Publication date: 3/19/2010
Binding: Hardcover
Pages: 619
Size: 7.25" wide x 10.00" long x 1.25" tall
Weight: 2.794
Language: English

List of Contributors
Historical Introduction
Continuous Spatial Variation
Continuous Parameter Stochastic Process Theory
Classical Geostatistical Methods
Likelihood-Based Methods
Spectral Domain
Asymptotics for Spatial Processes
Hierarchical Modeling with Spatial Data
Low-Rank Representations for Spatial Processes
Constructions for Nonstationary Spatial Processes
Monitoring Network Design
Non-Gaussian and Nonparametric Models for Continuous Spatial Data
Discrete Spatial Variation
Discrete Spatial Variation
Conditional and Intrinsic Autoregressions
Disease Mapping
Spatial Econometrics
Spatial Point Patterns
Spatial Point Process Theory
Spatial Point Process Models
Nonparametric Methods
Parametric Methods
Modeling Strategies
Multivariate and Marked Point Processes
Point Process Models and Methods in Spatial Epidemiology
Spatio-Temporal Processes
Continuous Parameter Spatio-Temporal Processes
Dynamic Spatial Models Including Spatial Time Series
Spatio-Temporal Point Processes
Modeling Spatial Trajectories
Data Assimilation
Additional Topics
Multivariate Spatial Process Models
Misaligned Spatial Data: The Change of Support Problem
Spatial Aggregation and the Ecological Fallacy
Spatial Gradients and Wombling
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