Visual Exploration of Spatio-temporal Relationships for Scientific Data

Spatio-temporal relationships among features extracted from temporally-varying scientific datasets can provide useful information about the evolution of an individual feature and its interactions with other features. However, extracting such useful relationships without user guidance is cumbersome a...

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Veröffentlicht in:VAST, IEEE Symposium on Visual Analytics Science and Technology, 2006 : proceedings, Baltimore, Maryland, USA, October 31-November 2, 2006 S. 11 - 18
Hauptverfasser: Mehta, S., Parthasarathy, S., Machiraju, R.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2006
Schlagworte:
Bifurcation
Computational fluid dynamics
Computer science
D.2.2 [Design Tools and Techniques]: User Interfaces
Data engineering
Data mining
Feature extraction
H.2.8 [Database Applications]: Data Mining
H.2.8 [Database Applications]: Scientific Databases
Knowledge Discovery
Merging
Scientific Analytics
Spatial databases
Spatio-temporal Predicates
Trajectory Analysis
Visual analytics
Visual databases
ISBN:1424405912, 9781424405916
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Zusammenfassung:Spatio-temporal relationships among features extracted from temporally-varying scientific datasets can provide useful information about the evolution of an individual feature and its interactions with other features. However, extracting such useful relationships without user guidance is cumbersome and often an error prone process. In this paper, we present a visual analysis system that interactively discovers such relationships from the trajectories of derived features. We describe analysis algorithms to derive various spatial and spatio-temporal relationships. A visual interface is presented using which the user can interactively select spatial and temporal extents to guide the knowledge discovery process. We show the usefulness of our proposed algorithms on datasets originating from computational fluid dynamics. We also demonstrate how the derived relationships can help in explaining the occurrence of critical events like merging and bifurcation of the vortices
ISBN:1424405912
9781424405916
DOI:10.1109/VAST.2006.261451