Surface boxplots

Handle URI:
http://hdl.handle.net/10754/594064
Title:
Surface boxplots
Authors:
Genton, Marc G. ( 0000-0001-6467-2998 ) ; Johnson, Christopher; Potter, Kristin; Stenchikov, Georgiy L. ( 0000-0001-9033-4925 ) ; Sun, Ying
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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Genton MG, Johnson C, Potter K, Stenchikov G, Sun Y (2014) Surface boxplots. Stat 3: 1–11. Available: http://dx.doi.org/10.1002/sta4.39.
Publisher:
Wiley-Blackwell
Journal:
Stat
Issue Date:
22-Jan-2014
DOI:
10.1002/sta4.39
PubMed ID:
26137218
PubMed Central ID:
PMC4484867
Type:
Article
ISSN:
2049-1573
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorGenton, Marc G.en
dc.contributor.authorJohnson, Christopheren
dc.contributor.authorPotter, Kristinen
dc.contributor.authorStenchikov, Georgiy L.en
dc.contributor.authorSun, Yingen
dc.date.accessioned2016-01-19T13:20:40Zen
dc.date.available2016-01-19T13:20:40Zen
dc.date.issued2014-01-22en
dc.identifier.citationGenton MG, Johnson C, Potter K, Stenchikov G, Sun Y (2014) Surface boxplots. Stat 3: 1–11. Available: http://dx.doi.org/10.1002/sta4.39.en
dc.identifier.issn2049-1573en
dc.identifier.pmid26137218en
dc.identifier.doi10.1002/sta4.39en
dc.identifier.urihttp://hdl.handle.net/10754/594064en
dc.description.abstractIn 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.en
dc.publisherWiley-Blackwellen
dc.subjectBand depthen
dc.subjectFast algorithmen
dc.subjectFunctional boxploten
dc.subjectImage dataen
dc.subjectLarge dataseten
dc.subjectRankingen
dc.subjectVisualizationen
dc.subjectVolume depthen
dc.titleSurface boxplotsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalStaten
dc.identifier.pmcidPMC4484867en
dc.contributor.institutionScientific Computing and Imaging Institute; Salt Lake City UT 84112 USAen
dc.contributor.institutionDepartment of Computer and Information Science; University of Oregon; Eugene OR 97403 USAen
dc.contributor.institutionDepartment of Statistics; Ohio State University; Columbus OH 43210 USAen
kaust.authorGenton, Marc G.en
kaust.authorStenchikov, Georgiy L.en

Related articles on PubMed

All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.