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Modeling Conflict Dynamics with Spatio-temporal Data

in conflict, such as diffusion, relocation, heterogeneous escalation, and volatility. The authors use ideas from statistics, signal processing, and;

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Statistics for Spatio-Temporal Data

book publishing industry.) Statistics for Spatio-Temporal Data has now been reprinted with small corrections to the text and the bibliography;

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Spatio-Temporal Methods in Environmental Epidemiology

in spatio-temporal methodology with epidemiological applications. Drawing on real-life problems, it provides the necessary tools to exploit advances;

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Spatio-Temporal Methods in Environmental Epidemiology

in spatio-temporal methodology with epidemiological applications. Drawing on real-life problems, it provides the necessary tools to exploit advances;

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Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Spatio-temporal Image;

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

-temporal models * Measurement error spatial models * Modeling preferential sampling * Spatial and spatio-temporal models with;

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

* Measurement error spatial models * Modeling preferential sampling * Spatial and spatio-temporal models with physical barriers * Survival;

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Spatiotemporal Design

A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling;

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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Review of basic Bayesian disease mapping models Spatio-temporal modeling with MCMC and INLA Special topics include;

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Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases

techniques such as Smartphone use in spatio-temporal usage data, cloud computing-enabled cluster detection, and communicable disease geo-simulation;

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Statistical Methods for Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will;

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Statistical Methods Of Spatio-Temporal Systems

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will;

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Spatio-Temporal Statistics with R

-Temporal Statistics with R provides an accessible introduction to statistical analysis of spatio-temporal data, with hands-on applications of the;

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Geospatial Applications for Natural Resources Management

, collection, storage, processing, modeling, interpretation, display and dissemination of spatio-temporal data, which could greatly aid with;

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Advances in Spatio-Temporal Analysis

geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining;

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Nonlinear Spatio-Temporal Dynamics and Chaos in Semiconductors

Nonlinear transport phenomena are an increasingly important aspect of modern semiconductor research. Nonlinear Spatio-Temporal Dynamics and;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

spatially referenced point process data. Reflected in the title, this third edition now covers spatio-temporal point patterns. It explores the;

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Outlier Detection for Temporal Data

statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier;

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Computing in Geographic Information Systems

is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being;

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Computing in Geographic Information Systems

is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being;

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Brain Dynamics

. These allow for highly flexible modeling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. The more;

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Brain Dynamics

. These allow for highly flexible modeling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. The more;

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Spatial & Spatio Temporal Bayesian

Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the;

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Spatial Statistics and Spatio-Temporal Data

spatio-temporal models, highlighting the Gaussian case and the binary data setting, along with the different methodologies for estimation and;

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Cambridge Nonlinear Science Series

Nonlinear transport phenomena are an increasingly important aspect of modern semiconductor research. Nonlinear Spatio-Temporal Dynamics and;

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Geospatial Health Data

areal and geostatistical data, Fitting and interpreting spatial and spatio-temporal models with the integrated nested Laplace approximation;

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