(The Eurographics Association, 2017) Chen, Yang; Yang, Jing; Zhao, Ye; Anna Puig Puig and Tobias Isenberg
We present a lens-based approach to explore animated data visualizations that involve time-series. The core of the approach lies in a novel combination of Lagrangian and Eulerian lenses, which allows us to leverage their complementary advantages to analyze data elements in complex spatial-temporal space. Film art techniques are employed to advance the way shifting the elements across different time and spaces. We illustrate the approach using animated bubble charts.