MovementFinder: A multi-filter visual analytics design for movement data investigation

In this paper, we propose MovementFinder, a multi-filter visual analytics system for movement data investigation. Our system integrates movement information from different datasets. Then with various visualizations and multiple filters, it is able to summarize the general movement patterns of a group of people, and help analysts detect abnormal events. Case studies demonstrate its effectiveness in a fictious analysis scenario.