ABSTRACT
Errors and uncertainty are an important issue in any form of scientific communication. It is hence natural that many tools and standard techniques have been developed for 2D visualization of scientific data since the early start of scientific visualization, representing uncertainties of points in 2D as vertical bars, graphing probability density curves and surfaces, and displaying uncertainty side by side. When the data sets are large, complex, and/or multidimensional, the problem becomes more challenging. It is hence not surprising that the visualization research has devoted several efforts to the problem of the visual representation of errors and uncertainty for 3D visualization. Indeed several applications have a crucial need to correctly visualize uncertainty in the 3D case: Display of medical information and GIS are perhaps the two most relevant examples of such applications.
