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Space time cube representation is an information visualization techniquewhere spatiotemporal data points are mapped into a cube. Fast and correctanalysis of such information is important in for instance geospatial and socialvisualization applications. Information visualization researchers havepreviously argued that space time cube representation is beneficial inrevealing complex spatiotemporal patterns in a dataset to users. The argumentis based on the fact that both time and spatial information are displayedsimultaneously to users, an effect difficult to achieve in otherrepresentations. However, to our knowledge the actual usefulness of space timecube representation in conveying complex spatiotemporal patterns to users hasnot been empirically validated. To fill this gap we report on abetween-subjects experiment comparing novice users error rates and responsetimes when answering a set of questions using either space time cube or abaseline 2D representation. For some simple questions the error rates werelower when using the baseline representation. For complex questions where theparticipants needed an overall understanding of the spatiotemporal structure ofthe dataset, the space time cube representation resulted in on average twice asfast response times with no difference in error rates compared to the baseline.These results provide an empirical foundation for the hypothesis that spacetime cube representation benefits users when analyzing complex spatiotemporalpatterns.

The Trade-offs with Space Time Cube Representation of Spatiotemporal Patterns