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A Statistics-based Dimension Reduction of the Space of Path Line Attributes for Interactive Visual Flow Analysis

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dc.contributor.author Pobitzer, Armin eng
dc.contributor.author Lež, Alan eng
dc.contributor.author Matković, Krešimir eng
dc.contributor.author Hauser, Helwig eng
dc.date.accessioned 2012-06-22T11:51:56Z
dc.date.available 2012-06-22T11:51:56Z
dc.date.issued 2012 eng
dc.identifier.citation Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2012), pp. 113-120 en
dc.identifier.uri http://hdl.handle.net/1956/5858
dc.description.abstract Recent work has shown the great potential of interactive flow analysis by the analysis of path lines. The choice of suitable attributes, describing the path lines, is, however, still an open question. This paper addresses this question performing a statistical analysis of the path line attribute space. In this way we are able to balance the usage of computing power and storage with the necessity to not loose relevant information. We demonstrate how a carefully chosen attribute set can improve the benefits of state-ofthe art interactive flow analysis. The results obtained are compared to previously published work. en
dc.language.iso eng eng
dc.publisher IEEE eng
dc.relation.ispartof <a href="http://hdl.handle.net/1956/5856" target="blank">Interactive Visual Analysis of Time-dependent Flows: Physics- and Statistics-based Semantics</a>
dc.subject data analysis eng
dc.subject data visualisation eng
dc.subject statistical analysis eng
dc.subject interactive visual flow analysis eng
dc.subject path line analysis eng
dc.subject path line attribute space eng
dc.subject statistical analysis eng
dc.subject statistics-based dimension reduction eng
dc.title A Statistics-based Dimension Reduction of the Space of Path Line Attributes for Interactive Visual Flow Analysis eng
dc.type Peer reviewed eng
dc.type Journal article eng
dc.subject.nsi VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429 eng
dc.rights.holder Copyright IEEE. All rights reserved.
dc.type.version acceptedVersion eng
bora.peerreviewed Peer reviewed eng
bibo.doi http://dx.doi.org/10.1109/PacificVis.2012.6183581 eng
dc.identifier.doi http://dx.doi.org/10.1109/PacificVis.2012.6183581


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