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
Online-Zugang:	Volltext
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