Dynamic Time Transformations for Visualizing Multiple Trajectories in Interactive Space-Time Cube
Space-time cube is a visualization technique representing (geographic) space and time by three display dimensions. This technique is used to visualize and explore trajectories of moving objects. However, it may be ineffective when the number of different trajectories is large and/or the time span of the data is long. We overcome the limitations in two complementary ways: first, clustering of trajectories by spatial similarity, and, second, transformation of the temporal references within the trajectories to facilitatecomparisons within and between clusters. We demonstrate the work of the approach on a real data set about individual movement over one year.