Integration of ChronoView with Pseudo MDS for Visualization of Temporal Data
Yasuhiro Anzai, Kazuo Misue · 2018
In several fields handling event data, exploring periodicity and similarity of the occurrence times of events is an important task. When we analyze event data, we often focus on temporal features of event groups, periodic features of events, and similarity of temporal features among event groups. This paper illustrates a visualization method to efficiently observe such features for multiple events. The method represents the temporal features of each event group with a glyph and represents the periodic features and their similarity with an arrangement of glyphs. To determine an arrangement of glyphs, a ChronoView graph representing periodic features of event groups is integrated with pseudo multidimensional scaling (MDS) in a 3D space. This paper also demonstrates the effectiveness of the visualization method for temporal data analysis with a use case exploring significant events from an actual dataset.