Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view

Stefano Castruccio, Marc G. Genton, Ying Sun

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Recent advances in computing hardware and software present an unprecedented opportunity for statisticians who work with data indexed in space and time to visualize, explore and assess the structure of the data and to improve resulting statistical models. We present results of a 3-year collaboration with a team of visualization experts on the use of stereoscopic view and virtual reality (VR) to visualize spatiotemporal data with animations on non-trivial manifolds. We first present our experience with fully immersive VR with motion tracking devices that enable users to explore global three-dimensional time–temperature fields on a spherical shell interactively. We then introduce a suite of applications with VR mode, freely available for smartphones, to port a visualization experience to any interested people. We also discuss recent work with head-mounted devices such as a VR headset with motion tracking sensors.
Original languageEnglish (US)
Pages (from-to)379-387
Number of pages9
JournalJournal of the Royal Statistical Society: Series A (Statistics in Society)
Volume182
Issue number2
DOIs
StatePublished - Jan 15 2019

Fingerprint

Dive into the research topics of 'Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view'. Together they form a unique fingerprint.

Cite this