Multidimensional data sets pose a number of problems for graphs, and their
visualizations (in the form of charts, tables, graphs, or more exotic forms like
Chernoff faces) generally end up complex, confusing, and difficult to read.
Within the limitations of two-dimensional displays, what does it take to
visualize three, four, or more dimensions? This research examined several
methods already in use, and using some of the principles there, explored one
approach to solve these problems. The idea of visual metaphors was developed
into a series of layers within a CG landscape: each layer...