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Interactive Visual Analysis of Complex Scientific Data as Families of Data Surfaces
November/December 2009 (vol. 15 no. 6)
pp. 1351-1358
ASCII Text
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Kresimir Matkovic, Denis Gracanin, Borislav Klarin, Helwig Hauser, "Interactive Visual Analysis of Complex Scientific Data as Families of Data Surfaces," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1351-1358, November/December, 2009.
 
 
BibTex
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@article{ 10.1109/TVCG.2009.155,
author = {Kresimir Matkovic and Denis Gracanin and Borislav Klarin and Helwig Hauser},
title = {Interactive Visual Analysis of Complex Scientific Data as Families of Data Surfaces},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {15},
number = {6},
issn = {1077-2626},
year = {2009},
pages = {1351-1358},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2009.155},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Interactive Visual Analysis of Complex Scientific Data as Families of Data Surfaces
IS - 6
SN - 1077-2626
SP1351
EP1358
EPD - 1351-1358
A1 - Kresimir Matkovic,
A1 - Denis Gracanin,
A1 - Borislav Klarin,
A1 - Helwig Hauser,
PY - 2009
KW - interactive visual analysis
KW - family of surfaces
KW - coordinated multiple views
KW - multidimensional multivariate data
VL - 15
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Kresimir Matkovic, VRVis Research Center, Vienna, Austria
Denis Gracanin, Virginia Tech., Blacksburg, USA
Borislav Klarin, AVL AST d. o. o., Zagreb, Croatia
Helwig Hauser, University of Bergen, Norway
The widespread use of computational simulation in science and engineering provides challenging research opportunities. Multiple independent variables are considered and large and complex data are computed, especially in the case of multi-run simulation. Classical visualization techniques deal well with 2D or 3D data and also with time-dependent data. Additional independent dimensions, however, provide interesting new challenges. We present an advanced visual analysis approach that enables a thorough investigation of families of data surfaces, i.e., datasets, with respect to pairs of independent dimensions. While it is almost trivial to visualize one such data surface, the visual exploration and analysis of many such data surfaces is a grand challenge, stressing the users’ perception and cognition. We propose an approach that integrates projections and aggregations of the data surfaces at different levels (one scalar aggregate per surface, a 1D profile per surface, or the surface as such). We demonstrate the necessity for a flexible visual analysis system that integrates many different (linked) views for making sense of this highly complex data. To demonstrate its usefulness, we exemplify our approach in the context of a meteorological multi-run simulation data case and in the context of the engineering domain, where our collaborators are working with the simulation of elastohydrodynamic (EHD) lubrication bearing in the automotive industry.

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Index Terms:
interactive visual analysis, family of surfaces, coordinated multiple views, multidimensional multivariate data
Citation:
Kresimir Matkovic, Denis Gracanin, Borislav Klarin, Helwig Hauser, "Interactive Visual Analysis of Complex Scientific Data as Families of Data Surfaces," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1351-1358, Nov.-Dec. 2009, doi:10.1109/TVCG.2009.155
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