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Issue No.06 - June (2013 vol.19)
pp: 1062-1075
H. Ribicic , VRVis Forschungs-GmbH, Vienna, Austria
J. Waser , VRVis Forschungs-GmbH, Vienna, Austria
R. Fuchs , Sci. Visualization Group ETH-Zentrum, Inf. Technol. & Educ., ETH Zurich, Zurich, Switzerland
G. Bloschl , Inst. fur Wasserbau und Ingenieurhydrologie, Tech. Univ. Wien, Vienna, Austria
E. Groller , Inst. fur Computergraphik und Algorithmen, Vienna, Austria
We present a visualization tool for the real-time analysis of interactively steered ensemble-simulation runs, and apply it to flooding simulations. Simulations are performed on-the-fly, generating large quantities of data. The user wants to make sense of the data as it is created. The tool facilitates understanding of what happens in all scenarios, where important events occur, and how simulation runs are related. We combine different approaches to achieve this goal. To maintain an overview, data are aggregated and embedded into the simulation rendering, showing trends, outliers, and robustness. For a detailed view, we use information-visualization views and interactive visual analysis techniques. A selection mechanism connects the two approaches. Points of interest are selected by clicking on aggregates, supplying data for visual analysis. This allows the user to maintain an overview of the ensemble and perform analysis even as new data are supplied through simulation steering. Unexpected or unwanted developments are detected easily, and the user can focus the exploration on them. The solution was evaluated with two case studies focusing on placing and testing flood defense measures. Both were evaluated by a consortium of flood simulation and defense experts, who found the system to be both intuitive and relevant.
Aggregates, Rendering (computer graphics), Data visualization, Buildings, Data models, Analytical models, Computational modeling, simulation steering, Data aggregation, problem solving environment, interactive visual analysis, decision making, uncertainty visualization
H. Ribicic, J. Waser, R. Fuchs, G. Bloschl, E. Groller, "Visual Analysis and Steering of Flooding Simulations", IEEE Transactions on Visualization & Computer Graphics, vol.19, no. 6, pp. 1062-1075, June 2013, doi:10.1109/TVCG.2012.175
[1] J. Waser, H. Ribičić, R. Fuchs, C. Hirsch, B. Schindler, G. Blöschl, and M.E. Gröller, "Nodes on Ropes: A Comprehensive Data and Control Flow for Steering Ensemble Simulations," IEEE Trans. Visualization and Computer Graphics, vol. 17, no. 12, pp. 1872-1881, Dec. 2011.
[2] K. Potter, A. Wilson, P.-T. Bremer, D. Wiliams, C. Doutriaux, V. Pascucci, and C. Johnson, "Visualization of Uncertainty and Ensemble Data: Exploration of Climate Modeling and Weather Forecast Data with Integrated Visus-Cdat Systems," J. Physics: Conf. Series, vol. 180, 2009.
[3] J. Waser, R. Fuchs, H. Ribičić, B. Schindler, G. Blöschl, and M.E. Gröller, "World Lines," IEEE Trans. Visualization and Computer Graphics, vol. 16, no. 6, pp. 1458-1467, Nov./Dec. 2010.
[4] K. Matković, D. Gracanin, M. Jelovic, and H. Hauser, "Interactive Visual Steering - Rapid Visual Prototyping of a Common Rail Injection System," IEEE Trans. Visualization and Computer Graphics, vol. 14, no. 6, pp. 1699-1706, Nov./Dec. 2008.
[5] "Visdom - An Integrated Visualization System," http:/, 2013.
[6] B. Shneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations," Proc. IEEE Symp. Visual Languages, pp. 336-343, 1996.
[7] R. Fuchs and H. Hauser, "Visualization of Multi-Variate Scientific Data," Computer Graphics Forum, vol. 28, no. 6, pp. 1670-1690, 2009.
[8] S. Bruckner and T. Möller, "Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design," IEEE Trans. Visualization and Computer Graphics, vol. 16, no. 6, pp. 1467-1475, Nov. 2010.
[9] H. Doleisch, M. Gasser, and H. Hauser, "Interactive Feature Specification for Focus+Context Visualization of Complex Simulation Data," Proc. IEEE Symp. Visualization (VisSym '03), pp. 239-248, 2003.
[10] H. Doleisch, M. Mayer, M. Gasser, P. Priesching, and H. Hauser, "Interactive Feature Specification for Simulation Data on Time-Varying Grids," Proc. Conf. Simulation and Visualization '05, pp. 291-304, 2005.
[11] J.C. Roberts, "State of the Art: Coordinated & Multiple Views in Exploratory Visualization," Proc. Fifth Int'l Conf. Coordinated and Multiple Views in Exploratory Visualization (CMV '07), pp. 61-71, 2007.
[12] J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques. Morgan Kaufmann, 2005.
[13] J. Goldstein and S.F. Roth, "Using Aggregation and Dynamic Queries for Exploring Large Data Sets," Proc. SIGCHI Conf. Human Factors in Computing Systems (CHI '94), pp. 23-29, 1994.
[14] J. Gray, S. Chaudhuri, A. Bosworth, A. Layman, D. Reichart, M. Venkatrao, F. Pellow, and H. Pirahesh, "Data Cube: A Relational Aggregation Operator Generalizing Group-by, Cross-Tab, and Sub-Totals," Data Mining and Knowledge Discovery, vol. 1, pp. 29-53, 1997.
[15] J. Groff, P. Weinberg, and A.J. Oppel, SQL The Complete Reference. McGraw-Hill, 2009.
[16] C. Stolte, D. Tang, and P. Hanrahan, "Multiscale Visualization Using Data Cubes," IEEE Trans. Visualization and Computer Graphics, vol. 9, no. 2, pp. 176-187, Apr. 2003.
[17] M.M. Malik, C. Heinzl, and M.E. Gröller, "Comparative Visualization for Parameter Studies of Data Set Series," IEEE Trans. Visualization and Computer Graphics, vol. 16, no. 5, pp. 829-840, Sept./Oct. 2010.
[18] J. Woodring and H.-W. Shen, "Chronovolumes: A Direct Rendering Technique for Visualizing Time-Varying Data," Proc. Eurographics/IEEE TVCG Workshop Volume Graphics (VG '03), pp. 27-34, 2003.
[19] J.-P. Balabanian, I. Viola, T. Möller, and M.E. Gröller, "Temporal Styles for Time-Varying Volume Data," Proc. Fourth Int'l Symp. 3D Data Processing, Visualization and Transmission (3DPVT), pp. 81-89, June 2008.
[20] J. Woodring and H.-W. Shen, "Multi-Variate, Time Varying, and Comparative Visualization with Contextual Cues," IEEE Trans. Visualization and Computer Graphics, vol. 12, no. 5, pp. 909-916, Sept./Oct. 2006.
[21] H. Akiba, N. Fout, and K.-L. Ma, "Simultaneous Classification of Time-Varying Volume Data Based on the Time Histogram," Proc. Eurographics Visualization Symp., pp. 1-8, 2006.
[22] M. Meyer, T. Munzner, A. DePace, and H. Pfister, "Multeesum: A Tool for Comparative Spatial and Temporal Gene Expression Data," IEEE Trans. Visualization and Computer Graphics, vol. 16, no. 6, pp. 908-917, Nov./Dec. 2010.
[23] J.J. Monaghan, "Smoothed Particle Hydrodynamics," Reports on Progress in Physics, vol. 68, pp. 1703-1759, 2005.
[24] B. Schindler, J. Waser, R. Fuchs, and R. Peikert, "Multiverse Data-Flow Control," Technical Report 720, ETH Zürich Computer Science, 2010.
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