We investigate how to represent the resulting multivariate information and multidimensional uncertainty by developing and applying candidate visual techniques. Although good techniques exist for visualizing many data types, less progress has been made on how to display uncertainty and multivariate information - this is especially true as the dimensionality rises. At this time, our primary focus is to develop the statistical characterizations for the environmental uncertainty (described only briefly in this article) and to develop a visual method for each characterization. The mariner community needs enhanced characterizations of environmental uncertainty now, but the accuracy of the characterizations is still not sufficient, and therefore formal user evaluations cannot take place at this point in development. We received feedback on the applicability of our techniques from domain experts. We used this in conjunction with previous results to compile a set of development guidelines.
@Article{ schmidt:2004:MVUU,
author = {Greg S. Schmidt and Sue-Ling Chen and Aaron
N. Bryden and Mark A. Livingston and Lawrence
J. Rosenblum and Bryan R. Osborn},
title = {Multidimensional visual representations for underwater environmental uncertainty},
journal = {IEEE Computer Graphics and Applications},
year = {2004},
volume = {24},
number = {5},
pages = {56--65},
}
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