Nested Tracking Graphs

dc.contributor.authorLukasczyk, Jonasen_US
dc.contributor.authorWeber, Guntheren_US
dc.contributor.authorMaciejewski, Rossen_US
dc.contributor.authorGarth, Christophen_US
dc.contributor.authorLeitte, Heikeen_US
dc.contributor.editorHeer, Jeffrey and Ropinski, Timo and van Wijk, Jarkeen_US
dc.date.accessioned2017-06-12T05:22:17Z
dc.date.available2017-06-12T05:22:17Z
dc.date.issued2017
dc.description.abstractTracking graphs are a well established tool in topological analysis to visualize the evolution of components and their properties over time, i.e., when components appear, disappear, merge, and split. However, tracking graphs are limited to a single level threshold and the graphs may vary substantially even under small changes to the threshold. To examine the evolution of features for varying levels, users have to compare multiple tracking graphs without a direct visual link between them. We propose a novel, interactive, nested graph visualization based on the fact that the tracked superlevel set components for different levels are related to each other through their nesting hierarchy. This approach allows us to set multiple tracking graphs in context to each other and enables users to effectively follow the evolution of components for different levels simultaneously. We demonstrate the effectiveness of our approach on datasets from finite pointset methods, computational fluid dynamics, and cosmology simulations.en_US
dc.description.number3
dc.description.sectionheadersScalar Field Analysis
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13164
dc.identifier.issn1467-8659
dc.identifier.pages013-022
dc.identifier.urihttps://doi.org/10.1111/cgf.13164
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13164
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCategories and Subject Descriptors (according to ACMCCS)
dc.subjectData [Computer Graphics]
dc.subjectData Structures
dc.subjectGraphs and Networks
dc.titleNested Tracking Graphsen_US
Files
Collections