Coding Data, Example
nDifferent color mappings
–reveal different amounts of useful information
–can be adapted to different tasks
“rainbow”
from Why Should Engineers and Scientists Be Worried About Color? Bernice E. Rogowitz and Lloyd A. Treinish, IBM Thomas J. Watson Research Center, Yorktown Heights, NY http://www.research.ibm.com/people/l/lloydt/color/color.HTM
“luminence”
“segmented”
“highlighting”
Figure 8. MRI Data with Rainbow, Isomorphic, Segmented and Highlighting Colormaps.
In Figure 8, we revisit the MRI data shown in the second row of Figures 2 and 6.  Again, the rainbow colormap in the upper left of Figure 8 creates perceived contours which do not reflect discrete transitions in the data.  Structures in the data which fall within one of these artificial bands are not represented, and attention is drawn to the yellow areas because they are the brightest, not because they are in any way the most important.

The isomorphic colormap (upper right) is designed to produce a faithful representation of the structure in the data.  A different isomorphic colormap from the one employed in Figure 6 is used.  It has greater variation in hue, although still dominated by variation in luminance, in order to show the structure of lower spatial frequency features (e.g., a tumor near the center of the image).

The segmented colormap (lower left) is designed to delineate regions visually.  Given the higher spatial frequency of the MRI data compared to the pollution data, fewer segments are employed so that they can be perceptually discerned.

The highlighting colormap (lower right) is designed to draw the users' attention to regions in the image which have certain characteristic features, such as a tumor (lower right). This colormap was designed to draw attention to areas which have data values near the median of the range.