Motivated by the problem of uncovering networks of illicit actors in complex urban environments, we present a
prototype system for intuitive navigation of vehicle track data via interacting map and network views. Our system
combines 3D geospatial visualization, social network display and interactive track search software, and it provides a
multi-touch interface for operators to navigate urban scenes and investigate potentially suspicious vehicle activity. We
describe a case study to highlight the system's capabilities using ground truth vehicle data collected during a 2007 urban
exercise. This data is most naturally viewed as tracks in space and time. But as cluttered track displays obscure
potentially important actor relationships, our system provides a social network picture whose condensed format is easier
to interpret. Through coordinated space-time/vehicle network searches, we demonstrate how analysts can uncover "Red"
activities of tactical significance.
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