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Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain;
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demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal;
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material, Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition presents models and statistical methods for analyzing;
Vergelijkbare producten zoals 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;
Vergelijkbare producten zoals Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial;
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geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining;
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spatial analysis, for both complete census and sample data * Investigating updated treatments of spatial autocorrelation and spatio-temporal;
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Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical;
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Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis;
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, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data;
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, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data;
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new reference Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio;
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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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diversity of GIScience related themes, including: Spatio-temporal Data Modelling and Visualisation; Spatial Data Infrastructures; Geo Web Services;
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Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips;
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Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips;
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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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The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since the publication of the;
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predict the spread of disease and evaluate the risk. Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases features;
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optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted;
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optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted;
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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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as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic;
Vergelijkbare producten zoals Statistical Methods for Spatial Data Analysis
models for continuous outcomes * Analysis of spatial and spatio-temporal point patterns * Coregionalization spatial and spatio;
Vergelijkbare producten zoals 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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is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being;
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is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being;
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