Abstract
Scientific visualization is concerned with the processing and display of large amounts of data in such a way as to facilitate assimilation of the information in an efficient and effective manner. Many disciplines and application have common requirements. This paper summarises current work in this area in the UK and the range of tools and techniques currently available.
A Scientific Visualization Workshop in the UK in 1991 examined the areas of framework models, visualization techniques, data facilities, human-computer interface aspects, applications, and products. Studies were also done in the area of enabling technologies — hardware, software, toolkits, database systems, and generic data formats. This work has been published as ‘Scientific Visualization — Techniques and Applications’, Springer-Verlag, 1992. This paper summarises the key results from this work.
An inter-disciplinary Scientific Visualization Group was formed at the University of Leeds in October 1990 to facilitate and coordinate campus-wide developments in area of tools and methodologies for visualization. We summarise the current work and objectives of the group in interdisciplinary application areas, and also current studies in methodologies for visualization via networks. Experiments are being set in place to study the partitioning of the visualization pipeline across different facilities (e.g. parallel processor, supercomputer, graphics workstation) and investigate interactive response times and network bandwidth requirements. Optimum configurations should enable local users to utilize high-powered facilities via network access. Desk top visualization is part of the required user toolset for the 1990’s.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
H. Barlow, C. Blakemore, M. Weston-Smith (Eds): Images and Understanding: Thoughts about Images, Ideas, and Understanding. Cambridge University Press, 1990
K.W. Brodlie, L.A. Carpenter, RA. Earnshaw, J.R. Gallop, R.J. Hubbold, A.M. Mumford, C.D. Osland, P. Quarendon (Eds): Scientific Visualization - Techniques and Applications. Springer-Verlag, pp 284,1992
D.S. Dyer: A Dataflow Toolkit for Visualization. IEEE Computer Graphics & Applications. Vol 10, No 4, pp 60–69, July, 1990
R.A. Earnshaw, N. Wiseman: An Introductory Guide to Scientific Visualization. Springer-Verlag, pp 100,1992
K.M. Fairchild, S.E. Poltrock, G.W. Furnas: Semnet: 3D graphics representations of large knowledge bases. In Guindon R (Ed), ‘Cognitive Science and Its Applications for Human Computer Interaction’, Lawrence Erlbaum Associates, 1988
K.A. Frenkel: The Art and Science of Visualizing Data, Communications of the ACM. Vol 31, No 2, pp 110–121,1988
K.A. Frenkel: Volume Rendering, Communications of the ACM. Vol 32, No 4, pp 426–435,1989
A. Kaufman (Ed): Volume Visualization. IEEE Press, 1990
T.L. Kunii, H. Enomoto: Forest: An Interacting Tree Model for Visualizing Forest Formation Processes by Algorithmic Computer Animation. Computer Animation’91, N. Magnenat-Thalmann and D. Thalmann (Eds), pp 191–213, Springer-Verlag, 1991
T.L. Kunii, Y. Shinagawa: Visualization: New Concepts and Techniques to Integrate Diverse Application Areas. In: “Scientific Visualization of Physical Phenomena”, N.M. Patrikalakis (Ed), pp 3–25, Springer-Verlag, 1991
RJ. Lansdown, R.A. Earnshaw (Eds): Computers in Art, Design, and Animation. Springer-Verlag, 1989
B.H. McCormick, T.A. DeFanti, M.D. Brown (Eds): Visualization in Scientific Computing. ACM SIGGRAPH Computer Graphics, Vol 21, No 6, November, 1987
B.H. McCormick, T.A. DeFanti, M.D. Brown (Eds): Visualization in Scientific Computing, IEEE Computer, Vol 23, No 8, August, 1989
G.M. Nielson, B. Shriver, L. Rosenblum (Eds): Visualization in Scientific Computing. IEEE Press, 1990
N.M. Patrikalakis (Ed): Scientific Visualization of Physical Phenomena. Springer-Verlag, pp 690,1991
D. Thalmann (Ed): Scientific Visualization and Graphics Simulation. Wiley, 1990
N. Magnenat Thalmann, D. Thalmann (Eds): New Trends in Animation and Visualization. Wiley, 1991
E.R. Tufte: The Visual Display of Quantitative Data. Graphics Press, USA
E.R. Tufte: Envisioning Information. Graphics Press, USA, 1990
C. Upson, T. Faulhaber, D. Kamins, D. Laidlaw, D. Schlegel, J. Vroom, R. Gurwitz, A. van Dam: The Application Visualization System: A Computational Environment for Scientific Visualization. IEEE Computer Graphics & Applications, Vol 9, No 4, pp 30–42,1989
C. Upson: Volumetric Visualization Techniques. In: “State of the Art in Computer Graphics - Visualization and Modeling”, (Eds) D.F. Rogers, R.A. Earnshaw, Springer-Verlag, 1991
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Earnshaw, R.A. (1993). Interdisciplinary Techniques, Toolkits and Models for Scientific Visualization. In: Göbel, M., Teixeira, J.C. (eds) Graphics Modeling and Visualization in Science and Technology. Beiträge zur Graphischen Datenverarbeitung. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77811-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-77811-7_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55965-8
Online ISBN: 978-3-642-77811-7
eBook Packages: Springer Book Archive