University of Bergen | Faculty of Mathematics and Natural Sciences | Department of Informatics | Visualization Group
Visualization
You are here: Department of Informatics > Visualization Group > Publications > kehrer11heterogeneous
 Visualization
 > about
 > team & contact info
 > research
 > publications
 > projects
 > teaching
 > seminars
 > resources
 > network
 > events
 > links

Interactive Visual Analysis of Heterogeneous Scientific Data across an Interface

Johannes Kehrer, Philipp Muigg, Helmut Doleisch, Helwig Hauser

ARTICLE, IEEE Transactions on Visualization and Computer Graphics, 2011

Abstract

We present a systematic approach to the interactive visual analysis of heterogeneous scientific data. The data consists of two interrelated parts given on spatial grids over time (e.g., atmosphere and ocean part from a coupled climate model). By integrating both data parts in a framework of coordinated multiple views (with linking and brushing), the joint investigation of features across the data parts is enabled. An interface is constructed between the data parts that specifies (a) which grid cells in one part are related to grid cells in the other part, and vice versa, (b) how selections (in terms of feature extraction via brushing) are transferred between the two parts, and (c) how an update mechanism keeps the feature specification in both data parts consistent during the analysis. We also propose strategies for visual analysis that result in an iterative refinement of features specified across both data parts. Our approach is demonstrated in the context of a complex simulation of fluid--structure interaction and a multi-run climate simulation.

Published

IEEE Transactions on Visualization and Computer Graphics

Media

  • paper
  • video
  • www
  • Click to view
  • Click to view
  • Click to view
  • Click to view

BibTeX

@article{kehrer11heterogeneous,
  author = {Johannes Kehrer and Philipp Muigg and 
			Helmut Doleisch and Helwig Hauser},
  title = {Interactive Visual Analysis of Heterogeneous Scientific Data across an Interface},
  year = {2011},
  abstract = {We present a systematic approach to the interactive visual analysis 
of heterogeneous scientific data. The data consists of two interrelated parts 
given on spatial grids over time (e.g., atmosphere and ocean part from a coupled 
climate model). By integrating both data parts in a framework of coordinated 
multiple views (with linking and brushing), the joint investigation of features 
across the data parts is enabled. An interface is constructed between the data 
parts that specifies (a) which grid cells in one part are related to grid cells 
in the other part, and vice versa, (b) how selections (in terms of feature 

update mechanism keeps the feature specification in both data parts consistent
during the analysis. We also propose strategies for visual analysis that result 
in an iterative refinement of features specified across both data parts. Our approach 
is demonstrated in the context of a complex simulation of fluid--structure interaction 
and a multi-run climate simulation.},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  volume = {17},
  number = {7},
  pages = {934--946},
  event = {IEEE VisWeek 2011},
  location = {Providence, RI, USA},  
  url = {http://dx.doi.org/10.1109/TVCG.2010.111},



}






 Last Modified: Jean-Paul Balabanian, 2014-06-18