Trajectory Mapper: Interactive Widgets and Artist-Designed Encodings for Visualizing Multivariate Trajectory Data

dc.contributor.authorLange, Devinen_US
dc.contributor.authorSamsel, Francescaen_US
dc.contributor.authorKaramouzas, Ioannisen_US
dc.contributor.authorGuy, S. J.en_US
dc.contributor.authorDockter, Rodneyen_US
dc.contributor.authorKowalewski, Timothyen_US
dc.contributor.authorKeefe, Daniel F.en_US
dc.contributor.editorBarbora Kozlikova and Tobias Schreck and Thomas Wischgollen_US
dc.date.accessioned2017-06-12T05:20:05Z
dc.date.available2017-06-12T05:20:05Z
dc.date.issued2017
dc.description.abstractWe present TrajectoryMapper, a system of novel interactive widgets and artist-designed visual encodings to support exploratory multivariate visualization of spatial trajectories. Trajectories are rendered using a three-way multi-texturing algorithm so that the color, texture, and shape of each mark can be manipulated separately in response to data. Visual encodings designed by artists and arranged in categories (e.g., divergent, linear, structured) are utilized as strong starting points for visual exploration. Interactive widgets including linked parallel coordinates plots, 3D camera controls, and projection to arbitrary 3D planes facilitate data exploration. An innovative visual mapper menu enables rapid experimentation with alternative data mappings using the artist-designed or custom encodings that can be created with no programming using image editing software. In addition to system design details and insights, two applications with collaborating domain science users are presented. The first requires analyzing 2D crowd simulations and the second 3D tool traces from laparoscopic surgery training exercises.en_US
dc.description.sectionheadersVisual Design, Case Studies, and Evaluation
dc.description.seriesinformationEuroVis 2017 - Short Papers
dc.identifier.doi10.2312/eurovisshort.20171141
dc.identifier.isbn978-3-03868-043-7
dc.identifier.pages103-107
dc.identifier.urihttps://doi.org/10.2312/eurovisshort.20171141
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurovisshort20171141
dc.publisherThe Eurographics Associationen_US
dc.titleTrajectory Mapper: Interactive Widgets and Artist-Designed Encodings for Visualizing Multivariate Trajectory Dataen_US
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