Visual Analytics Interface for Time Series Data Based on Trajectory Manipulation
Rei Takami, Yasufumi Takama · 2018
In recent years, time series data have been collected in many fields, and a visual analytics (VA) interface is expected to be useful for utilizing such data. When developing such interfaces for time series data, several problems arising from the property of time series data need to be resolved. For example, the temporal trend of data is usually visualized with animation. However, with this approach, a collision would occur between the movement of the time series data itself and that caused by interaction with users. As a result, visual clutter often occurs on a display. To solve these problems, this paper focuses on trajectories, which can handle temporal and spatial changes uniformly, and proposes a VA interface that enables direct manipulation of trajectories. The usefulness of the proposed interface is demonstrated through experiments.