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|a 10.1109/TVCG.2015.2507592
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|a eng
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|a Obermaier, Harald
|e verfasserin
|4 aut
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| 245 |
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|a Visual Trends Analysis in Time-Varying Ensembles
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|c 2016
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|a Text
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|a ƒaComputermedien
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|a Date Completed 20.06.2017
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|a Date Revised 20.06.2017
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Visualization and analysis techniques play a key role in the discovery of relevant features in ensemble data. Trends, in the form of persisting commonalities or differences in time-varying ensemble datasets, constitute one of the most expressive feature types in ensemble analysis. We develop a flow-graph representation as the core of a system designed for the visual analysis of trends in time-varying ensembles. In our interactive analysis framework, this graph is linked to a representation of ensemble parameter-space and the ensemble itself. This facilitates a detailed examination of trends and their correlations to properties of input-space. We demonstrate the utility of the proposed trends analysis framework in several benchmark data sets, highlighting its capability to support goal-driven design of time-varying simulations
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|a Journal Article
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|a Bensema, Kevin
|e verfasserin
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|a Joy, Kenneth I
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 22(2016), 10 vom: 18. Okt., Seite 2331-2342
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|u http://dx.doi.org/10.1109/TVCG.2015.2507592
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