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Mason, J. S.; Klippel, A.; Bleisch, S.; Slingsby, A.; Deitrick, S. (2016)
Publisher: Kluwer
Languages: English
Types: Article
Subjects: RC0321, QA75
While research on uncertainty and decision-making has a long history across several disciplines, recent technological developments compel researchers to rethink how to best address and advance the understanding of how humans reason and make decisions under spatial uncertainty. This introduction presents a visual summary graphic to provide an overview of each article in this special issue. Upon viewing these visual summaries, the reader will find that each of these articles covers different topics in the uncertainty visualization domain, offering complementary research in this field. Extending this body of research and finding new ways to explore how these visualizations may help or hinder the analytical and reasoning process of humans continues to be a necessary step towards designing more effective uncertainty visualizations to support reasoning and decision-making.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • o Aerts, J. C. J. H., Clarrke, K., & Keuper, A. (2003). Testing Popular Visualization Techniques for Representing Model Uncertainty. Cartography and Geographic Information Science, 30(3), 249-261. P Bisantz, A. M., Marsiglio, S. S., & Munch, J. (2005). Displaying Uncertainty: Investigating the Effects of Display Foremat and Specificity. Human Factors: The Journal of the Human Factors and Ergonomics eSociety, 47(4), 777-796.
    • Couclelis, H. (2003). The certainty of uncertainty: GIS and the limits of geographic knowledge.
    • Transactions in GIS, 7(2), 16r5-175.
    • Deitrick, S., & Edsall, R. (2008). Making RUncertainty Usable: Approaches for Visualizing Uncertainty Information, in Geographic Visualization: Concepts, Tools and Applications.
    • In M. Dodge, M. McDerby, & M. Turener (Eds.), Geographic Visualization: Concepts, Tools and Applications (pp. 277-291). Chichester, UK.: John Wiley & Sons, Ltd.
    • v Hope, S., & Hunter, G. J. (2007). Testing the effects of positional uncertainty on spatial decisionmaking. International Journal of Geographiical Information Science, 21(6), 645-665.
    • Hunter, G. J., & Goodchild, M. F. (1993). Managing Uencertainty in Spatial Databases: Putting Theory into Practice. Journal of Urban and RegiownalInformation Systems Association, 5(2), 52-62.
    • Kinkeldey, C., MacEachren, A. M., Riveiro, M., & Schiewe, J. (2015). Evaluating the effect of visually represented geodata uncertainty on decision-mOaking: systematic review, lessons learned, and recommendations. Cartography and Geographic Information Science, 1-21.
    • Leitner, M., & Buttenfield, B. P. (2000). Guidelines for the Display of nAttribute Certainty.
    • Cartography and Geographic Information Science, 27(1), 3-14. l MacEachren, A. M., Robinson, A., Hopper, S., Gardner, S., Murray, R., Gayhegan, M., & Hetzler, E.
    • (2005). Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know. Cartography and Geographic Information Science, 32(3), 139-160.
    • MacEachren, A. M., Roth, R. E., O'Brien, J., Li, B., Swingley, D., & Gahegan, M. (2012). Visual Semiotics & Uncertainty Visualization: An Empirical Study. Visualization and Computer Graphics, IEEE Transactions on, 18(12), 2496-2505.
    • (2015). Retrieved from http://visunc.sci.utah.edu
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