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Surface boxplots.

Authors :
Genton, Marc G.
Johnson, Christopher
Potter, Kristin
Stenchikov, Georgiy
Sun, Ying
Source :
Stat. 2014, Vol. 3 Issue 1, p1-11. 11p.
Publication Year :
2014

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20491573
Volume :
3
Issue :
1
Database :
Academic Search Index
Journal :
Stat
Publication Type :
Academic Journal
Accession number :
96805382
Full Text :
https://doi.org/10.1002/sta4.39