Proposal of Visual Analytics Interface for Time Series Data based on Direct Manipulation of Trajectory

Abstract

Recently, various temporal data have been collected in many fields, and visual analytics interface is expected to be useful for utilizing such data. However, when temporal data is visualized using animation, collision would occur between movement of time series data itself and movement caused by interaction with users. This paper focuses on trajectory, which can handle temporal and spatial changes uniformly, and proposes a visual analytics interface based on it. This paper also shows a use case of applying prototype interface to time series data.