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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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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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Spatial Statistics and Spatio-Temporal Data

functions in the spatial, spatio-temporal, multivariate spatial, and point pattern settings. * Provides illustrations of all methods based on data;

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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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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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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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Spatial Epidemiological Approaches in Disease Mapping and Analysis

, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.;

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Spatial Epidemiological Approaches in Disease Mapping and Analysis

, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.;

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Spatio-Temporal Statistics with R

data that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio;

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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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Spatial Analysis

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

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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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Statistical Methods for Spatial Data Analysis

as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical;

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Statistical Methods for Spatial Data Analysis

statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It;

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Statistical Analysis And Modelling Of Spatial Point Patterns

spatial point pattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patterns;

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Geostatistical Functional Data Analysis

new reference Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio;

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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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Computing in Geographic Information Systems

has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a;

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Computing in Geographic Information Systems

has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a;

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Multiple-point Geostatistics

images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The;

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Spatio-Temporal Methods in Environmental Epidemiology

. It describes traditional and Bayesian approaches and presents the theory of spatial, temporal, and spatio-temporal modeling in the context;

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