Visuanimation in statistics

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 modeling; 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.

Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature

“…It is also possible to extend the proposed methodology to cross-correlation for multiple physical variables, or even multiple climate models. Visualization of such a complex data structure has recently been explored using a virtual reality environment and visuanimation in Genton et al (2015).…”

Interactive graphics for functional data analyses

“…The interfaces produced by refund.shiny using the shiny framework are web applications, rendered locally by a web browser. These applications can be hosted publicly and may, in the spirit of “visuanimations” (Genton et al ), be included as important parts of scientific papers and reports.…”

Visualizing Spatiotemporal Models with Virtual Reality: from Fully Immersive Environments to Applications in Stereoscopic View

“…Genton et al . () presented the first work from a collaboration with the Visualization Core Laboratory at King Abdullah University of Science and Technology (KAUST) on diagnostics and visualization of statistical models. Genton et al .…”

“…Genton et al . () discussed limitations of current approaches with static images and the value of movies in enhancing the perception and quantification of uncertainty. Although the work presented an initial discussion on dynamic visualization, they did not provide any guidance on quantification of the visual agreement between images, and they only hinted at the use of visualization on non‐trivial geometries.…”