In this paper, we first identify frequently occurring types of uncertainty. Second, we connect those uncertainty representations to ones commonly used in visualization.We then look at various approaches to visualizing this uncertainty by partitioning the work based on the dimensionality of the data and the dimensionality of the uncertainty, and we discuss noteworthy exceptions to our taxonomy along with future research directions for the uncertainty visualization community.
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