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Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view
Author(s) -
Castruccio Stefano,
Genton Marc G.,
Sun Ying
Publication year - 2019
Publication title -
journal of the royal statistical society: series a (statistics in society)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.103
H-Index - 84
eISSN - 1467-985X
pISSN - 0964-1998
DOI - 10.1111/rssa.12381
Subject(s) - headset , computer science , stereoscopy , virtual reality , visualization , human–computer interaction , motion (physics) , software , suite , match moving , computer graphics (images) , computer vision , artificial intelligence , telecommunications , archaeology , history , programming language
Summary 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.