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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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書誌詳細
主要な著者: Feng, David, Kwock, Lester, Lee, Yueh, Taylor, Russell M.
フォーマット: Artigo
言語:Inglês
出版事項: 2010
主題:
オンライン・アクセス: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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