Mining and Visualizing Spatial Interaction Patterns for Pandemic Response
Diansheng Guo · 2006
This paper views the movements of people among locations as a spatial interaction problem, where locations interact with each other via shared visitors. The connection between two specific locations can be weighted with several alterna-tive weight definitions. The purpose of this research is to analyze the general characteristics of such spatial interac-tions 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 decision-support in response to possible disease outbreaks. 1