Computer ScienceMathematicsMedicine

Kristin C. Potter, P. Rosen, Chris R. Johnson

2011IFIP Advances in Information and Communication Technology

DOI: 10.1007/978-3-642-32677-6_15

tlooto Summary

This paper identifies frequently occurring types of uncertainty and connects those uncertainty representations to ones commonly used in visualization, and looks at various approaches to visualizing this uncertainty by partitioning the work based on the dimensionality of the data and the dimensionalities of the uncertainty.

Abstract

Abstract is not available.

Citation format

POTTER, Kristin C.; ROSEN, P.; JOHNSON, Chris R. From quantification to visualization: A taxonomy of uncertainty visualization approaches. IFIP Advances in Information and Communication Technology, 2011, 377: 226–249.