Exploring the Affordances of Immersive Visualization Spaces: A Use Case About COVID-19
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21333-5_25
Reference21 articles.
1. Dutta, B., DeBellis, M.: CODO: an ontology for collection and analysis of Covid-19 data. In: Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. pp. 76–85 (2020). https://doi.org/10.5220/0010112500760085
2. Sargsyan, A., et al.: The COVID-19 Ontology. Bioinformatics 36, 5703–5705 (2020). https://doi.org/10.1093/bioinformatics/btaa1057
3. Qundus, J.A., Schäfermeier, R., Karam, N., Peikert, S., Paschke, A.: ROC: an ontology for country responses towards COVID-19, http://arxiv.org/abs/2104.07345 (2021). https://doi.org/10.48550/arXiv.2104.07345
4. Cordeil, M., Cunningham, A., Dwyer, T., Thomas, B.H., Marriott, K.: ImAxes: immersive axes as embodied affordances for interactive multivariate data visualisation. In: Proceedings of the 30th annual ACM symposium on user interface software and technology. pp. 71–83 (2017)
5. Zhang, C., Zeng, W., Liu, L.: UrbanVR: an immersive analytics system for context-aware urban design. Comput. Graph. 99, 128–138 (2021). https://doi.org/10.1016/j.cag.2021.07.006
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