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Statistics for Spatio-Temporal Data

demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal;

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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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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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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 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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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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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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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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Nonlinear System Identification

Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for;

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Spatio-Temporal Methods in Environmental Epidemiology

Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological Studies Spatio-Temporal Methods in Environmental;

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Modern Statistical Methods for Spatial and Multivariate Data

applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the;

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Formal Methods for the Quantitative Evaluation of Collective Adaptive Systems

analysis, spatio-temporal models, and aggregate programming.;

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Spatio-Temporal Methods in Environmental Epidemiology

Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological StudiesSpatio-Temporal Methods in Environmental;

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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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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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Structural, Syntactic, and Statistical Pattern Recognition

; spatio-temporal pattern recognition; structural matching; text and document analysis.;

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Object-Oriented Design for Temporal GIS

they can be used for modelling spatio-temporal data, and how these components are developed and maintained within a GIS. It also offers;

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Object-Oriented Design for Temporal GIS

they can be used for modelling spatio-temporal data, and how these components are developed and maintained within a GIS. It also offers;

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Outlier Detection for Temporal Data

data streams, spatio-temporal data, network data, community distribution data, etc. Compared to general outlier detection, techniques for;

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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 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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Semantic Kriging for Spatio-temporal Prediction

parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK;

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Semantic Kriging for Spatio temporal Prediction

parameters. The spatial and spatio-temporal prediction of these parameters are important for the scientific community, and the semantic kriging (SemK;

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