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

There are many visual methods used to identify patterns in space and time. Thesis Most of my recent books and papers deal with statistical inference and computational methods for spatial and spatio-temporal point processes. Such an application provides researchers with the ability to visually search the data for clusters in both a statistical model view and a spatio-temporal view. In this case, he and de Montjoye were able to use those tools to uncover a simple mathematical relationship between the resolution of spatiotemporal data and the likelihood of identifying a member of a data set. This framework is designed to analyze spatio-temporal data produced in several scientific domains. Radius of gyration, root mean square deviation (RMSD)) to identify similar 3D conformations in folding trajectories. 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. 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. (This article was first published on Intelligent Trading, and kindly contributed to R-bloggers). My main focus of research is in mathematical statistics and applied probability, particularly in relation to spatial data sets and computational problems as covered in the research areas known as spatial statistics, stochastic geometry, simulation- based inference, Markov chain Monte Carlo methods, and perfect simulation. Previously, researchers have examined several summary statistics (e.g. Hidalgo's group specializes in applying the tools of statistical physics to a wide range of subjects, from communications networks to genetics to economics. We extend the spatio-temporal data mining framework that we have developed earlier to analyze and manage such data [5].