Visuanimation in statistics

Marc G. Genton, Stefano Castruccio, Paola Crippa, Subhajit Dutta, Raphaël Huser, Ying Sun, Sabrina Vettori

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

This paper explores the use of visualization through animations, coined visuanimation, in the field of statistics. In particular, it illustrates the embedding of animations in the paper itself and the storage of larger movies in the online supplemental material. We present results from statistics research projects using a variety of visuanimations, ranging from exploratory data analysis of image data sets to spatio-temporal extreme event modelling; these include a multiscale analysis of classification methods, the study of the effects of a simulated explosive volcanic eruption and an emulation of climate model output. This paper serves as an illustration of visuanimation for future publications in Stat. Copyright © 2015 John Wiley & Sons, Ltd.
Original languageEnglish (US)
Pages (from-to)81-96
Number of pages16
JournalStat
Volume4
Issue number1
DOIs
StatePublished - Apr 14 2015

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