Surface boxplots

Marc G. Genton, Christopher Johnson, Kristin Potter, Georgiy L. Stenchikov, Ying Sun

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

In this paper, we introduce a surface boxplot as a tool for visualization and exploratory analysis of samples of images. First, we use the notion of volume depth to order the images viewed as surfaces. In particular, we define the median image. We use an exact and fast algorithm for the ranking of the images. This allows us to detect potential outlying images that often contain interesting features not present in most of the images. Second, we build a graphical tool to visualize the surface boxplot and its various characteristics. A graph and histogram of the volume depth values allow us to identify images of interest. The code is available in the supporting information of this paper. We apply our surface boxplot to a sample of brain images and to a sample of climate model outputs.
Original languageEnglish (US)
Pages (from-to)1-11
Number of pages11
JournalStat
Volume3
Issue number1
DOIs
StatePublished - Jan 22 2014

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