| Title |
Visualization Of Large Datasets In Virtual Reality Systems |
| ID_Doc |
61311 |
| Authors |
Ježek B.; Šimeček O.; Konvička M.; Slabý A. |
| Year |
2023 |
| Published |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14218 LNCS |
| DOI |
http://dx.doi.org/10.1007/978-3-031-43401-3_4 |
| Abstract |
This article explores the technology of large data files and the possibilities of their visualization in virtual reality. The three-dimensional unlimited scene, perception of perspective, freedom of movement, and interaction using natural gestures are all unique properties of virtual reality that can significantly change the way we receive, control, and evaluate visualization. Individual elements are discussed in detail, and their positive and negative aspects are described along with the potential applications. The knowledge gained from exploring extensive data files and virtual reality is used to develop two interactive demonstrations. The first virtual scene deals with the visualization of data from the smart city of Aarhus. The second demonstration works with the statistical data pertaining to the Czech Republic. The benefits and findings are then evaluated and summarized. The work also describes other possible uses of this technology and directions for further development. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords |
data visualization; information visualization; interaction; virtual reality |
