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Matching Visual Saliency to Confidence in Plots of Uncertain Data

Conveying data uncertainty in visualizations is crucial for preventing viewers from drawing conclusions based on untrustworthy data points. This paper proposes a methodology for efficiently generating density plots of uncertain multivariate data sets that draws viewers to preattentively identify val...

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書目詳細資料
Main Authors: Feng, David, Kwock, Lester, Lee, Yueh, Taylor, Russell M.
格式: Artigo
語言:Inglês
出版: 2010
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3179257/
https://ncbi.nlm.nih.gov/pubmed/20975135
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TVCG.2010.176
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