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

of the INLA and SPDE methodologies and the R-INLA package. It also includes a wide range of applications: * Spatial and spatio-temporal;

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

INLA and SPDE methodologies and the R-INLA package. It also includes a wide range of applications: * Spatial and spatio-temporal models for;

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Statistics for Spatio-Temporal Data

Winner of the 2013 DeGroot Prize. A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern;

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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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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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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing;

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Statistical Analysis of Spatial and Spatio-Temporal Point Patterns

material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing;

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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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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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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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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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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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Spatio-Temporal Databases

spatio-temporal databases of moving objects. The brief begins with the definition of flexible pattern queries, which are powerful because of the;

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Spatial Analysis

spatial analysis, for both complete census and sample data * Investigating updated treatments of spatial autocorrelation and spatio-temporal;

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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested;

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Modern Statistical Methods for Spatial and Multivariate Data

on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and;

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Spatio-temporal Analysis and Optimization of Land Use/Cover Change

optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted;

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Spatio-temporal Analysis and Optimization of Land Use/Cover Change

optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted;

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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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Spatio-Temporal Databases

Spatio-Temporal Databases explores recent trends in flexible querying and reasoning about time- and space-related;

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Spatiotemporal Analysis of Extreme Hydrological Events

Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest;

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Geospatial Health Data

geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and;

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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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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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Advances in Spatio-Temporal Segmentation of Visual Data

transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and;

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Spatio-Temporal Heterogeneity

confounded by environmental heterogeneity. Spatio-Temporal Heterogeneity explores a range of available statistical methods to help ecologists in the;

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