A Layout Technique for Storyline-based Visualization of Consecutive Numerical Time-varying Data

Abstract

We commonly represent time-varying values as polyline charts or heatmaps; however, both type of techniques are difficult to simultaneously observe short-term features of time-varying values and cluster transitions. This poster proposes storyline-based visualization technique for consecutive numerical time-varying data. Storyline is a visualization technique to show associative feature among elements over time. Our technique measures similarity of each elements and draw similar elements as proximity storyline. The technique also reflects differential values on storyline as a visual variable to emphasize the amount of line changes.