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Statistics for Spatio-Temporal Data by Noel Cressie, Christopher K. Wikle

Statistics for Spatio-Temporal Data Noel Cressie, Christopher K. Wikle ebook
Publisher: Wiley
Format: epub
ISBN: 0471692743, 9780471692744
Page: 624

Carstairs, V 1981, ̒Small are analysis and health service research̕, Journal of Public Health, vol. This framework is designed to analyze spatio-temporal data produced in several scientific domains. The goal of this Weekly crop progress reports produced by the U.S. Carpenter, TE 2011, ̒The spatial epidemiologic (r)evolution: A look back in time and forward to the future̕, Spatial and Spatio-temporal Epidemiology, vol. 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. Previously, researchers have examined several summary statistics (e.g. Department of Agriculture National Agricultural Statistics Service (NASS) were used to assess the accuracy of TSF-based estimates of corn developmental stages. In fact, in a dataset where the location of an individual is specified hourly, and with a spatial resolution equal to that given by the carrier's antennas, four spatio-temporal points are enough to uniquely identify 95% of the individuals. 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. Time-series 250-m vegetation-index (VI) data acquired from the Moderate Resolution Imaging Spectroradiometer (MODIS) provide valuable information for monitoring the spatiotemporal changes of corn growth across large geographic areas. The main task will be the development and evaluation of dynamic visualisation methods for spatio-temporal data by combining techniques of computer graphics and statistical analysis. Hidalgo's group specializes in applying the tools of statistical physics to a wide range of subjects, from communications networks to genetics to economics. Clark, W & Avery, KL 1976, ̒The effects of data aggregation in statistical analysis̕, Geographical Analysis, vol. We extend the spatio-temporal data mining framework that we have developed earlier to analyze and manage such data [5]. The following is a partial look at an interesting but slightly pointy headed study published in Nature Magazine about how much identity information can be gleaned about the identity of a subject with merely four human data points. Radius of gyration, root mean square deviation (RMSD)) to identify similar 3D conformations in folding trajectories.