Surface boxplots

被引:37
作者
Genton, Marc G. [1 ]
Johnson, Christopher [2 ]
Potter, Kristin [4 ]
Stenchikov, Georgiy [1 ]
Sun, Ying [3 ]
机构
[1] King Abdullah Univ Sci & Technol, CEMSE Div, Thuwal 239556900, Saudi Arabia
[2] Sci Comp & Imaging Inst, Salt Lake City, UT 84112 USA
[3] Ohio State Univ, Dept Stat, Columbus, OH 43210 USA
[4] Univ Oregon, Dept Comp & Informat Sci, Eugene, OR 97403 USA
来源
STAT | 2014年 / 3卷 / 01期
关键词
band depth; fast algorithm; functional boxplot; image data; large dataset; ranking; visualization; volume depth;
D O I
10.1002/sta4.39
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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. Copyright (C) 2014 John Wiley & Sons Ltd.
引用
收藏
页码:1 / 11
页数:11
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