Abstract
Though the mediums for visualization are limited, the potential dimensions of a dataset are not. In many areas of scientific study, understanding the correlations between those dimensions and their uncertainties is pivotal to mining useful information from a dataset. Obtaining this insight can necessitate visualizing the many relationships among temporal, spatial, and other dimensionalities of data and its uncertainties. We utilize multiple views for interactive dataset exploration and selection of important features, and. we apply those techniques to the unique challenges of cosmological particle datasets. We show how interactivity and incorporation of multiple visualization techniques help overcome the problem of limited visualization dimensions and allow many types of uncertainty to be seen in correlation with other variables.
Original language | English (US) |
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Title of host publication | IEEE Pacific Visualisation Symposium 2008, PacificVis - Proceedings |
Pages | 207-214 |
Number of pages | 8 |
DOIs | |
State | Published - Aug 25 2008 |
Event | 2008 Pacific Visualization Symposium, PacificVis 2008 - Kyoto, Japan Duration: Mar 4 2008 → Mar 7 2008 |
Other
Other | 2008 Pacific Visualization Symposium, PacificVis 2008 |
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Country | Japan |
City | Kyoto |
Period | 3/4/08 → 3/7/08 |
Keywords
- Cosmology
- Parallel coordinates
- Uncertainty visualization
- Visualization applications
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Hardware and Architecture
- Software