Visual Data Mining In Atmospheric Science Data
Data Mining and Knowledge Discovery
Comparative evaluation of visualization and experimental results using image comparison metrics
Proceedings of the conference on Visualization '02
Task-Specific Visualization Design
IEEE Computer Graphics and Applications
30 Years of Multidimensional Multivariate Visualization
Scientific Visualization, Overviews, Methodologies, and Techniques
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
VIS '94 Proceedings of the conference on Visualization '94
Proceedings of the 35th conference on Winter simulation: driving innovation
Flow Field Clustering via Algebraic Multigrid
VIS '04 Proceedings of the conference on Visualization '04
Visually Accurate Multi-Field Weather Visualization
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Icon-Based Visualization Using Mosaic Metaphors
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Two-Tone Pseudo Coloring: Compact Visualization for One-Dimensional Data
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Volume rendering data with uncertainty information
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
Information empowerment through mobile learning
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Comparative Visual Analysis of 2D Function Ensembles
Computer Graphics Forum
Brushing moments in interactive visual analysis
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
| Hi-index | 0.00 |
Large, heterogeneous volumes of simulation data are calculated and stored in many disciplines, e.g. in climate and climate impact research. To gain insight, current climate analysis applies statistical methods and model sensitivity analyzes in combination with standard visualization techniques. However, there are some obstacles for researchers in applying the full functionality of sophisticated visualization, exploiting the available interaction and visualization functionality in order to go beyond data presentation tasks. In particular, there is a gap between available and actually applied multi-variate visualization techniques. Furthermore, visual data comparison of simulation (and measured) data is still a challenging task. Consequently, this paper introduces a library of visualization techniques, tailored to support exploration and evaluation of climate simulation data. These techniques are integrated into the easy-to-use visualization framework SimEnvVis - designed as a front-end user interface to a simulation environment - which provides a high level of user support generating visual representations.