@inproceedings{8bdc841d934e4dc0968409cb81d1561f,
title = "Immersive Analytics for Spatio-Temporal Data on a Virtual Globe: Prototype and Emerging Research Challenges",
abstract = "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.",
keywords = "globe visualisation, pandemic data visualisation, virtual reality",
author = "Simon Kloiber and Katharina Kr{\"o}sl and Tobias Schreck",
year = "2022",
month = nov,
day = "29",
doi = "10.1145/3562939.3565656",
language = "English",
series = "Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST",
publisher = "Association of Computing Machinery",
pages = "1--2",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - VRST 2022",
address = "United States",
note = "28th ACM Symposium on Virtual Reality Software and Technology : VRST 2022, VRST '22 ; Conference date: 29-11-2022 Through 01-12-2022",
}