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    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2019
    In:  Journal of the Royal Statistical Society Series A: Statistics in Society Vol. 182, No. 2 ( 2019-02-01), p. 379-387
    In: Journal of the Royal Statistical Society Series A: Statistics in Society, Oxford University Press (OUP), Vol. 182, No. 2 ( 2019-02-01), p. 379-387
    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.
    Type of Medium: Online Resource
    ISSN: 0964-1998 , 1467-985X
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 204794-9
    detail.hit.zdb_id: 1490715-X
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