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Activity Number: 626
Type: Invited
Date/Time: Thursday, August 4, 2016 : 8:30 AM to 10:20 AM
Sponsor: International Statistical Institute
Abstract #318005
Title: Visuanimation in Statistics
Author(s): Marc Genton* and Stefano Castruccio and Paola Crippa and Subhajit Dutta and Raphaƫl Huser and Ying Sun and Sabrina Vettori
Companies: KAUST and Newcastle University and Newcastle University and IIT Kanpur and KAUST and King Abdullah University of Science and Technology and KAUST
Keywords: animation ; classification ; extremes ; functional data ; spatio-temporal data ; visualization
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.


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