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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
dc.contributor.author Lež, Alan
dc.contributor.author Matković, Krešimir
dc.contributor.author Hauser, Helwig
dc.date.accessioned 2012-06-22T11:51:56Z
dc.date.available 2012-06-22T11:51:56Z
dc.date.issued 2012
dc.identifier.citation Proceedings of IEEE Pacific Visualization Symposium (PacificVis 2012), pp. 113-120 en
dc.identifier.uri http://dx.doi.org/10.1109/PacificVis.2012.6183581
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 en
dc.publisher IEEE en
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.rights Copyright IEEE. All rights reserved. en
dc.subject data analysis en
dc.subject data visualisation en
dc.subject statistical analysis en
dc.subject interactive visual flow analysis en
dc.subject path line analysis en
dc.subject path line attribute space en
dc.subject statistical analysis en
dc.subject statistics-based dimension reduction en
dc.title A Statistics-based Dimension Reduction of the Space of Path Line Attributes for Interactive Visual Flow Analysis en
dc.type Peer reviewed en
dc.type Journal article en
dc.subject.nsi VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429 en
dc.type.version acceptedVersion en


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