Mining and Visualizing Spatial Interaction Patterns for Pandemic Response
نویسنده
چکیده
This paper views the movements of people among locations as a spatial interaction problem, where locations interact with each other via shared visitors. The purpose of this research is to analyze the general characteristics of such spatial interactions and propose a strategy to explore and visualize such a large volume of data and reveal important patterns. The proposed strategy combines clustering, ordering, and visual techniques to efficiently present overall patterns and provide an interface for visual data mining and decisionsupport in response to possible disease outbreaks.
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