A statistics-based dimension reduction of the space of path line attributes for interactive visual flow analysis

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 spa...

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Published in:2012 IEEE Pacific Visualization Symposium pp. 113 - 120
Main Authors: Pobitzer, A., Lez, A., Matkovic, K., Hauser, H.
Format: Conference Proceeding
Language:English
Published: IEEE 01.02.2012
Subjects:
Analytical models
Context
Data models
Feature extraction
I.3.8 [Computing Methodologies]: Computer Graphics-Applications
I.6.6 [Computing Methodologies]: Simulation and modeling-Simulation Output Analysis
Loading
Statistical analysis
Visualization
ISBN:1467308633, 9781467308632
ISSN:2165-8765
Online Access:Get full text
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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-of-the art interactive flow analysis. The results obtained are compared to previously published work.
AbstractList 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-of-the art interactive flow analysis. The results obtained are compared to previously published work.
Author Pobitzer, A.
Lez, A.
Matkovic, K.
Hauser, H.
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  surname: Hauser
  fullname: Hauser, H.
  email: helwig.hauser@uib.no
  organization: Univ. of Bergen, Bergen, Norway
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Snippet 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...
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StartPage 113
SubjectTerms Analytical models
Context
Data models
Feature extraction
I.3.8 [Computing Methodologies]: Computer Graphics-Applications
I.6.6 [Computing Methodologies]: Simulation and modeling-Simulation Output Analysis
Loading
Statistical analysis
Visualization
Title A statistics-based dimension reduction of the space of path line attributes for interactive visual flow analysis
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