Abstract
As computational and experimental science have evolved, a new dimension of challenges for visualization and analysis has emerged: enabling research, understanding, discovery at multiple problem scales and the interaction of the scales, and abstractions of phenomena. Visualization and analysis tools are needed to enable interacting and reasoning at multiple simultaneous scales of representations of data, systems, and processes. Moreover, visualization is crucial to help scientists and engineers understand the critical processes at the scale boundaries through the use of external visual cognitive artifacts to enable more natural reasoning across these boundaries.
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Notes
- 1.
This is summarized from the NSF Science and Engineering Community Workshop report by Ebert D., Gaither K., and Gilpin C.
References
Eick, S.G., Karr, A.F.: Visual scalability. J. Comput. Graph. Stat. 11(1), 22–43 (2002)
Robertson, G.G., Ebert, D.S., Eick, S.G., Keim, D.A., Joy, K.: Scale and complexity in visual analytics. Inf. Vis. 8(4), 247–253 (2009)
Thomas, J.J., Cook, K.A. (eds.): Illuminating the path: the research and development agenda for visual analytics. IEEE CS Press, NJ (2005)
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Ebert, D., Gaither, K., Jang, Y., Lasher-Trapp, S. (2014). Cross-Scale, Multi-Scale, and Multi-Source Data Visualization and Analysis Issues and Opportunities. In: Hansen, C., Chen, M., Johnson, C., Kaufman, A., Hagen, H. (eds) Scientific Visualization. Mathematics and Visualization. Springer, London. https://doi.org/10.1007/978-1-4471-6497-5_28
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DOI: https://doi.org/10.1007/978-1-4471-6497-5_28
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