Overview
- Editors:
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Georges Grinstein
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Department of Computer Science Institute for Visualization and Perception Research, University of Massachusetts Lowell, Lowell, USA
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Haim Levkowitz
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Department of Computer Science Institute for Visualization and Perception Research, University of Massachusetts Lowell, Lowell, USA
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Table of contents (13 papers)
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- Georges Grinstein, Haim Levkowitz
Pages 1-8
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- R. Daniel Bergeron, Daniel A. Keim, Ronald M. Pickett
Pages 9-21
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- W. Hibbard, H. Levkowitz, J. Haswell, P. Rheingans, F. Schroeder
Pages 23-32
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- Ronald M. Pickett, Georges Grinstein, Haim Levkowitz, Stuart Smith
Pages 33-45
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- Haim Levkowitz, Ronald M. Pickett, Stuart Smith, Mark Torpey
Pages 47-58
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- Penny Rheingans, Chris Landreth
Pages 59-73
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- William L. Hibbard, Brian E. Paul, Charles R. Dyer
Pages 75-82
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- Rongxin Li, Philip K. Robertson
Pages 83-94
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- Pak Chung Wong, R. Daniel Bergeron
Pages 95-108
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- Daniel A. Keim, Hans-Peter Kriegel
Pages 127-141
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- G. Deon Oosthuizen, Fritz J. Venter
Pages 143-155
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About this book
With the increase in the amount and dimensionality of scientific data collected, new approaches to the design of displays of such data have become essential. The designers of visual and auditory displays of scientific data seek to harness perceptual processes for data exploration. The general aim is to provide ways for raw data, and the statistical and mathematical structures they comprise, to "speak for themselves" and, thereby, enable scientists to conduct exploratory, in addition to confirmatory analyses of their data. The present primary approach via visualization depends mainly on coding data as positions of visually distinguishable elements in a two- or three- dimen sional euclidean space, e.g., as discrete points comprising clusters in scatter-plot displays and as patches comprising the hills and valleys of statistical surfaces. These displays are immensely effective because the data are in a form that evokes natural perceptual processing of the data into impressions of the presence and spatial disposition of apparent materials, objects, and structures in the viewers apparent physical environment. The problem with this mode of display, however, is that its perceptual potency is largeiy exhausted at dimension three, while we increasingly face the need to explore data of much greater dimensionality. The challenge posed for visualization researchers is to develop new modes of display that can push the dimensionality of data displays higher while retaining the kind of perceptual potency needed for data exploration.
