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Statistics for Spatio-Temporal Data Noel Cressie, Christopher K. Wikle
Publisher: Wiley

In this field, current research progresses focus on analyzing traffic flows of individual links or local Our aim is precisely to propose a new methodology for extracting spatio-temporal traffic patterns, ultimately for modeling large-scale traffic dynamics, and long-term traffic forecasting. Based on this hypothesis, we combined spatial statistical methods with genetic analytic techniques and explicitly used geographic space to explore genetic evolution of H5N1 highly pathogenic avian influenza viruses at the sub-national scale in Vietnam. If there is spatial autocorrelation in model residuals, values are typically low and the semivariance increases with separation distance [30,31]. We extend the spatio-temporal data mining framework that we have developed earlier to analyze and manage such data [5]. As a multidisciplinary field, Visual Analytics combines several disciplines such as human perception and cognition, interactive graphic design, statistical computing, data mining, spatio-temporal data analysis, and even art. Statistics for Spatio-Temporal Data 2011 | 624 Pages | ISBN: 0471692743 | EPUB + MOBI | 8 MB + 10 MB Statistics for Spatio-Temporal Data 2011 | 624 Pages | ISBN: 0471692743 | EPUB + MOBI. Are there better metaphors for spatio-temporal data visualization than a time-evolving heat map? Previously, researchers have examined several summary statistics (e.g. This framework is designed to analyze spatio-temporal data produced in several scientific domains. Each virus was assigned a unique identification number, allowing us to link geographic location, genetic sequence and temporal data in later analyses, and the dataset was sorted in ascending order by this unique ID. Radius of gyration, root mean square deviation (RMSD)) to identify similar 3D conformations in folding trajectories. Dimensional geo-referenced visualization but spatio-temporal data requires at least four dimensions for visualization. A condition-of-the-artwork presentation of spatio-temporal processes, bridging vintage ideas with modern hierarchical statistical modeling principles and the most current computational approaches. Abstract: Statistical traffic data analysis is a hot topic in traffic management and control.