Authors
Jian Chen
Andrew S. Forsberg
Sharon M. Swartz
David H. Laidlaw
Abstract
Numerous scientific and analysis problems involve integrating heterogeneous information that is multidimensional, multivariate, and time-dependent. To visualize this data in a 3D environment, we designed a visualization technique called multiple scale small multiples (MSSM), in which each view behaves like an environment in itself. Aggregated multiple views can also form single view visualization. Data from bat flights and flow simulations were used to demonstrate MSSM at work. Users can interact with the dataset at different levels of detail and scale, and access a fairly large amount of data points.