Abstract

Space–time cube is often used as a visualization technique representing trajectories of moving objects in (geographic) space and time by three display dimensions (Hägerstrand 1970). Despite the recent advances allowing space–time cube visualization of clusters of trajectories, it is problematic to represent trajectory attributes. We propose a new time transformation—sequential ordering—that transforms the space–time cube into a new display, trajectory wall, which allows effective and efficient visualization of trajectory attributes for trajectories following similar routes. To enable temporal analysis regarding temporal cycles, we use a time lens technique for interactive visualization. We demonstrate the work of the method on a real data set with trajectories of cars in a big city.

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