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A Comprehensive Process for Spatiotemporal Analysis of Network-Based Phenomena

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dc.contributor.advisor Curtin, Kevin M. Eckley, David C
dc.creator Eckley, David C 2010-12-03 2011-06-14T17:06:03Z NO_RESTRICTION en_US 2011-06-14T17:06:03Z 2011-06-14
dc.description.abstract This thesis describes an efficient and effective process for conducting spatiotemporal cluster analysis of network-based phenomena. While various methods are published which describe spatiotemporal analysis of phenomena in continuous space, the literature is lacking for the application of these methods in network space. Through a step by step process, Part 1 of this thesis establishes the validity of a network application for the spatiotemporal clustering method proposed by Knox (1964). Further, it presents an intuitive technique for determining the critical parameters in space and time for the spatiotemporal test, by examination of minimum and average nearest neighbor distances in both dimensions independently. Through examples, Part 2 explores the significance tests used by the described spatiotemporal clustering methodology and expounds upon the critical parameter determination mentioned in Part 1. Part 3 presents a GIS-based toolbox, SCAn (Spatiotemporal Cluster Analysis on a network) designed to perform spatiotemporal cluster analysis of network-based phenomena using the methods presented in Part 1 and Part 2.
dc.language.iso en_US en_US
dc.subject Spatiotemporal en_US
dc.subject Spatial Statistics en_US
dc.subject Cluster en_US
dc.subject Space-Time en_US
dc.subject Knox Test en_US
dc.subject GIS Software en_US
dc.title A Comprehensive Process for Spatiotemporal Analysis of Network-Based Phenomena en_US
dc.type Thesis en Masters in Geographic and Cartographic Sciences en_US Master's en Geographic and Cartographic Sciences en George Mason University en

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