A typology for visualizing uncertainty

Judi Thomson, Elizabeth Hetzler, Alan MacEachren, Mark Gahegan, Misha Pavel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

100 Citations (Scopus)

Abstract

Information analysts must rapidly assess information to determine its usefulness in supporting and informing decision makers. In addition to assessing the content, the analyst must be confident about the quality and veracity of the information. Visualizations can concisely represent vast quantities of information, thus aiding the analyst to examine larger quantities of material; however, visualization programs are challenged to incorporate a notion of confidence or certainty because the factors that influence the certainty or uncertainty of information vary with the type of information and the type of decisions being made. For example, the assessment of potentially subjective human-reported data leads to a large set of uncertainty concerns in fields such as national security, law enforcement (witness reports), and even scientific analysis where data is collected from a variety of individual observers. What's needed is a formal model or framework for describing uncertainty as it relates to information analysis, to provide a consistent basis for constructing visualizations of uncertainty. This paper proposes an expanded typology for uncertainty, drawing from past frameworks targeted at scientific computing. The typology provides general categories for analytic uncertainty, a framework for creating task-specific refinements to those categories, and examples drawn from the national security field.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsR.F. Erbacher, J.C. Roberts, M.T. Grohn, K. Borner
Pages146-157
Number of pages12
Volume5669
DOIs
StatePublished - 2005
EventProceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2005 - San Jose, CA, United States
Duration: Jan 17 2005Jan 18 2005

Other

OtherProceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2005
CountryUnited States
CitySan Jose, CA
Period1/17/051/18/05

Fingerprint

Visualization
National security
Drawing (graphics)
information analysis
Natural sciences computing
Information analysis
Law enforcement
Uncertainty
confidence

Keywords

  • Framework
  • Geospatial information © 2005 spie and is&t
  • Uncertainty

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Thomson, J., Hetzler, E., MacEachren, A., Gahegan, M., & Pavel, M. (2005). A typology for visualizing uncertainty. In R. F. Erbacher, J. C. Roberts, M. T. Grohn, & K. Borner (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 5669, pp. 146-157). [16] https://doi.org/10.1117/12.587254

A typology for visualizing uncertainty. / Thomson, Judi; Hetzler, Elizabeth; MacEachren, Alan; Gahegan, Mark; Pavel, Misha.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / R.F. Erbacher; J.C. Roberts; M.T. Grohn; K. Borner. Vol. 5669 2005. p. 146-157 16.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Thomson, J, Hetzler, E, MacEachren, A, Gahegan, M & Pavel, M 2005, A typology for visualizing uncertainty. in RF Erbacher, JC Roberts, MT Grohn & K Borner (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 5669, 16, pp. 146-157, Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2005, San Jose, CA, United States, 1/17/05. https://doi.org/10.1117/12.587254
Thomson J, Hetzler E, MacEachren A, Gahegan M, Pavel M. A typology for visualizing uncertainty. In Erbacher RF, Roberts JC, Grohn MT, Borner K, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 5669. 2005. p. 146-157. 16 https://doi.org/10.1117/12.587254
Thomson, Judi ; Hetzler, Elizabeth ; MacEachren, Alan ; Gahegan, Mark ; Pavel, Misha. / A typology for visualizing uncertainty. Proceedings of SPIE - The International Society for Optical Engineering. editor / R.F. Erbacher ; J.C. Roberts ; M.T. Grohn ; K. Borner. Vol. 5669 2005. pp. 146-157
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