PersistenceBundles: Visual Comparison of Topological Features

In time-varying scientific datasets, the temporal evolution of interesting topological features is commonly displayed and explored using isosurfaces and tracking graphs. However, the visual representation of such tracking graphs supports only few interactive capabilities. Further, they capture information at a high level that requires specification of carefully chosen parameter values. To bridge this gap, we propose persistenceBundles, a flexible visualization metaphor that utilizes a hierarchical edge-bundling approach for visualizing tracked features using persistence hierarchies, and implicitly allows for intuitive interaction schemes. We demonstrate the effectiveness of our approach using the viscous finger dataset