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Advances in Spatio-Temporal Analysis

. Advances in Spatio-Temporal Analysis contributes to the field of spatio-temporal analysis, presenting innovative ideas and examples that reflect;

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Statistics for Spatio-Temporal Data

complex processes. Topics of coverage include: * Exploratory methods for spatio-temporal data, including visualization, spectral analysis;

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Spatiotemporal Design

statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time;

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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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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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Advances in Spatial and Temporal Databases

routing, trajectory analysis, spatio-temporal approaches, privacy and matching, similarity search and pattern, keyword and pattern.;

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

models for continuous outcomes * Analysis of spatial and spatio-temporal point patterns * Coregionalization spatial and spatio;

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

continuous outcomes * Analysis of spatial and spatio-temporal point patterns * Coregionalization spatial and spatio-temporal models;

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Nonlinear Spatio-Temporal Dynamics and Chaos in Semiconductors

description of nonlinear self-organized spatio-temporal patterns, like current filaments, field domains, fronts, and analysis of their stability;

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Spatio temporal Intertwining

overcome by adopting an understanding of spatiality and temporality as interwoven moments of sensible experience-a 'spatio-temporal intertwining;

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Cambridge Nonlinear Science Series

description of nonlinear self-organized spatio-temporal patterns, like current filaments, field domains, fronts, and analysis of their stability;

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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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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the;

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Object-Oriented Design for Temporal GIS

capabilities of GIS. Object-Oriented Design for Temporal GIS explores the major components of the object-oriented analysis and design methods, how;

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Object-Oriented Design for Temporal GIS

capabilities of GIS. Object-Oriented Design for Temporal GIS explores the major components of the object-oriented analysis and design methods, how;

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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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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 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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