Contour boxplot
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In statistical graphics and scientific visualization the contour boxplot[1] is an exploratory tool that has been proposed for visualizing ensembles of feature-sets determined by a threshold on some scalar function (e.g. level-sets, isocontours). Analogous to the classical boxplot and considered an expansion of the concepts defining functional boxplot[2] [3], the descriptive statistics of a contour boxplot are: the envelope of the 50% central region, the median curve and the maximum non-outlying envelope.
References
- ^ Whitaker, Ross T. (2013). "Contour Boxplots: A Method for Characterizing Uncertainty in Feature Sets from Simulation Ensembles". IEEE Transactions on Visualization and Computer Graphics (IEEE Visualization Issue).
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Hyndman, Rob J. (2010). "Rainbow Plots, Bagplots, and Boxplots for Functional Data". Journal of Computational and Graphical Statistics. 19 (1): 29–45. doi:10.1198/jcgs.2009.08158.
{{cite journal}}: Unknown parameter|coauthors=ignored (|author=suggested) (help) - ^ Sun, Y. (2011). "Functional boxplots". Journal of Computational and Graphical Statistics. 20 (2): 316–334. doi:10.1198/jcgs.2011.09224.
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