Immersive Analytics for Spatio-Temporal Data on a Virtual Globe: Prototype and Emerging Research Challenges

Simon Kloiber, Katharina Krösl, Tobias Schreck

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


We present our approach for the immersive analysis of spatio-temporal data, using a three-dimensional virtual globe. We display quantitative data as country-shaped elevated polygons and animate elevation levels over time to represent the temporal dimension. This approach allows us to investigate global patterns of behaviour, like pandemic infection data. By using a virtual reality setting, we intend to increase our understanding of spatial data and potential global relationships. Based on the development of our prototype, we outline research challenges we see emerging in this context.
Original languageEnglish
Title of host publicationProceedings - VRST 2022
Subtitle of host publication28th ACM Symposium on Virtual Reality Software and Technology
EditorsStephen N. Spencer
Place of PublicationNew York, NY, USA
PublisherAssociation of Computing Machinery
ISBN (Electronic)9781450398893
Publication statusPublished - 29 Nov 2022
Event28th ACM Symposium on Virtual Reality Software and Technology: VRST 2022 - Tsukuba, Japan
Duration: 29 Nov 20221 Dec 2022

Publication series

NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST


Conference28th ACM Symposium on Virtual Reality Software and Technology
Abbreviated titleVRST '22


  • globe visualisation
  • pandemic data visualisation
  • virtual reality

ASJC Scopus subject areas

  • Software

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