Abstract
Scientific Data Visualization is now a major topic of discussion initiated by the NSF Workshop Report that addressed the need for improved techniques for data visualization. In this paper we discuss how the various “classical” visualization techniques are being interpreted in current and evolving scientific visualization environments. We emphasize the concept of visual data exploration as a particularly difficult case within the general problem of the visualization of scientific data. We describe Exvis, a broad on-going research project at the University of Lowell, dedicated to the investigation of new and innovative technologies (hardware, software and conceptual) for scientific data visualization and exploration and discuss some innovative presentation techniques. Finally, we suggest future directions for visualization and perceptualization researchers.
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References
R. Daniel Bergeron & Georges G. Grinstein, “A Reference Model for the Visualization of Multi-dimensional Data,” Proceedings of Eurographics ‘89 (September 1989)
Georges G, Grinstcin & Ronald M. Pickett, “Exvis — An Experimental Visualization Environment,” Proceedings of Graphics Interface ‘89 (June 1989).
Georges G. Grinstein, Ronald M. Pickett & S.M, Streeter, “The Implementation of an Exploratory Scientific Visualization Environment,” Proceedings of ACM CSC ‘89 (February 1989).
Gabor T. Herman & Hairn Levkowitz, “Color scales for medical image data,” Proceedings of Electronic Imaging 988, Boston, MA (October 1988).
Haim Levkowitz & Gabor T. Herman, “Color in multidimensional multiparameter medical imaging,” COLOR research and application11(Supplemei)t) (1986), S15–S20.
B.II. McCormick, T.A. Defanti & M,D. Brown, “Visualization in Scientific Computing — A Synopsis,” Computer Graphics 21 (Nov 1987).
J.J. Mezrich, S. Frysinger & R. Slivjanovski, “Dynamic Representation of Multivariate Time Series Data,” Journal of the American Statistical Association 79: 385 (1984), 34–40.
Ronald M, Pickett & Georges G, Grinstein, “Iconographies Displays for Visualizing Multidimensional Data,” Proceedings of the J 988 IEEE Conference on Systems, Man and Cybernetics, Beijing and Shenyang, People’s Republic of China (1988).
Ronald M. Pickett & Stuart Smith, “The Perceptualization of Scientific Data,” Proceedings of the Annual Meeting of the Human Factors Society (October 1989).
Martin Schedlbauer, “Implementation of a Scientific Data Visualization System/* Proceedings of ACM CSC ’89 (February 1989).
Lloyd A. Treinish, An Interactive, Discipline-Independent Data Visualization System, NASA Goddard Space Flight Center, Greenbelt, MD, March 1988.
Marian G. Williams, “Experimenting with Textural Perception,” University of Lowell Computer Science Technical Report, December 1988.
Marian G. Williams, Stuart Smith & G. Pecelli, “CHI Issues in the Design of an Intelligent Visualization Workstation/’ Proceedings of ACM SIGCHI 389 (April 1989).
E.S. Yeung, “Pattern Recognition by Audio Representation of Multivariate Analytical Data,” AnaL Chem. 52 (1980), 1120–1123.
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Grinstein, G., Bergeron, R.D. (1989). The Visualization of Scientific Data. In: Paul, M. (eds) GI — 19. Jahrestagung I. Informatik-Fachberichte, vol 222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75177-6_1
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DOI: https://doi.org/10.1007/978-3-642-75177-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-51821-1
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