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Local Models for Spatial Analysis

Models for Spatial Analysis broke new ground with its focus on local modelling methods. Reflecting the continued growth and increased interest;

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Local Models for Spatial Analysis

Models for Spatial Analysis broke new ground with its focus on local modelling methods. Reflecting the continued growth and increased interest;

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Spatial Regression Analysis Using Eigenvector Spatial Filtering

specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial;

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Statistical Methods for Spatial Planning and Monitoring

The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support;

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Spatial Analysis for the Social Sciences

models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced;

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Spatial Analysis for the Social Sciences

models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced;

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Geographically Weighted Regression

Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as;

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Spatial Econometrics using Microdata

spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are;

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Statistical Methods for Spatial Data Analysis

analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that;

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Statistical Methods for Spatial Data Analysis

analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that;

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Spatial Econometrics and Spatial Statistics

in particular the spatial association (dependence) contained in local map patterns.;

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Spatial Econometrics and Spatial Statistics

in particular the spatial association (dependence) contained in local map patterns.;

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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

analysis with spatial effects * Dynamic space-time regression * Spatial and spatio-temporal models for extremes * Hurdle models with;

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Neural Networks in Transport Applications

The analysis of human behaviour from the viewpoint of network developments has gained much scientific attention. Especially in a spatial;

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Models in Spatial Analysis

This title provides a broad overview of the different types of models used in advanced spatial analysis. The models concern spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Spatial Analysis Methods and Practice

advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers;

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Spatial Analysis Methods and Practice

advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers;

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Geographic Information Analysis

Geographic Information Analysis provides up-to-date coverage of the foundations of spatial data analysis through visualization and maps;

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Short-Memory Linear Processes and Econometric Applications

(CLTs) for weighted sums of short memory linear processes. This part contains the analysis of certain operators in Lp spaces and their;

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Random Fields for Spatial Data Modeling

analysis are integral parts of many scientific and engineering disciplines. Random fields provide a general theoretical framework for the;

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Mechanistic Home Range Analysis. (MPB-43)

Moorcroft and Mark Lewis develop a radically new framework for studying animal home range patterns based on the analysis of correlated random work;

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Hybrid Systems Biology

systems for multi-scale, multi-domain analysis; abstraction, approximation, discretization, and model reduction techniques; modeling, analysis and;

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Estimation of Spatial Panels

first part considers estimation for static models. The second part is devoted to the estimation for spatial dynamic panels, where both stable;

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Methods of Interregional and Regional Analysis

, including regional and interregional input-output analysis, econometrics (regional and spatial), programming and industrial and urban complex;

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