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IEEE VAST Challenge 2021 Winner: Visual Analytics for Spatial-Temporal Situation Awareness. | LitMetric

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Article Abstract

IEEE VAST Challenge 2021 provides fruitful data to test the visual analytics capability of participants. We summarize our work in this article. Trajectory data and consumption data contain a lot of information, such as consumption patterns, behavior characteristics, and so on. The information can provide favorable clues for law enforcement departments to crack a case about missing employees. We designed a visual analytics system called Sundial for spatio-temporal situation awareness with multidata fusion. It contains three views, that is, consumption view, temporal behavior view, and spatial-temporal map. With the system, analysts can effectively identify the consumption and behavior patterns of employees, and detect the suspicious activities and informal or formal relationships. Through case analysis, we illustrated how to use the system and obtain effective information.

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http://dx.doi.org/10.1109/MCG.2022.3210004DOI Listing

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