Using Color Dimensions to Display Data Dimensions

One of the advantages of computer graphics is that it enables an unprecedented degree of control over color. Since color vision is three-dimensional, this provides three additional perceptual dimensions that may be used in addition to the two spatial dimensions available on a flat display to present multidimensional data. This research probes the usefulness of color in enabling human observers to perceive clusters of points in a multidimensional space. Comparing the resolution of clusters in color and in space shows that color is an effective extension of space for conveying information about data dimensions. However, the perceptual space defined by color and space is not homogeneous and resolution is poor in a few specific directions. For this reason, the use of multiple views is advocated whenever color is used as a tool in exploratory data analysis.

[1]  WareColin Color Sequences for Univariate Maps , 1988 .

[2]  W D Wright,et al.  Color Science, Concepts and Methods. Quantitative Data and Formulas , 1967 .

[3]  W. Cowan,et al.  Changes in perceived color due to chromatic interactions , 1982, Vision Research.

[4]  Arne Valberg,et al.  Towards a uniform color space: A better formula to describe the munsell and OSA color scales , 1986 .

[5]  H W HAKE,et al.  Multidimensional stimulus differences and accuracy of discrimination. , 1955, Journal of experimental psychology.

[6]  C Ware,et al.  Chromatic Mach bands: Behavioral evidence for lateral inhibition in human color vision , 1987, Perception & psychophysics.

[7]  William B. Cowan,et al.  An inexpensive scheme for calibration of a colour monitor in terms of CIE standard coordinates , 1983, SIGGRAPH.

[8]  J. Lebensohn Color in Business, Science, and Industry , 1952 .

[9]  A R Smith,et al.  Color Gamut Transformation Pairs , 1978 .

[10]  William S. Cleveland,et al.  A Color-Caused Optical Illusion on a Statistical Graph , 1983 .

[11]  John M. Chambers,et al.  Graphical Methods for Data Analysis , 1983 .

[12]  Alvy Ray Smith,et al.  Color gamut transform pairs , 1978, SIGGRAPH.

[13]  R. E. Christ Review and Analysis of Color Coding Research for Visual Displays , 1975 .

[14]  J. Mollon Color vision. , 1982, Annual review of psychology.

[15]  I. D. Hill,et al.  Algorithm 266: pseudo-random numbers [G5] , 1965, CACM.

[16]  Herman Chernoff,et al.  The Use of Faces to Represent Points in k- Dimensional Space Graphically , 1973 .

[17]  M. E. Muller,et al.  A Note on the Generation of Random Normal Deviates , 1958 .