Abstract
Although virtual reality (VR) has a huge success in increasing the quality of scientific visualization applications, there is a considerable lag in the development of VR applications in the case of information visualization (InfoVis). Some researchers in InfoVis claim that 2D representations are enough for data analysis; however, in the case of multi-dimensional datasets, other researchers indicate that studying multiple dimensions simultaneously is advantageous [1], [2], [3]. The first studies with low quality stereoscopic devices showed no advantages when performing simple tasks on simple datasets [4]. However, recent experiments using higher quality devices and more complex datasets show a huge improvement in performance [5]. Still, designing an effective 3D representation remains a complex endeavour. Brath [6] provides a list of things to take into account. This paper shows how a CAVE-like2 environment can allow the study of multi-dimensional datasets while keeping multiple 2D representations available, using genome comparisons as a usecase. Parallel coordinate plots and non-planar graph representation in 3D space are also described. Some potential applications in aerospace are also listed (this is by no means a complete listing of applications; readers are encouraged to suggest new ones).
Original language | English |
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Title of host publication | 2016 IEEE Aerospace Conference, AERO 2016 |
Publisher | IEEE |
ISBN (Electronic) | 9781467376761 |
DOIs | |
Publication status | Published - 27 Jun 2016 |
Event | IEEE Aerospace Conference - Big Sky, Montana, United States Duration: 5 Mar 2016 → 12 Mar 2016 https://www.aeroconf.org/ |
Publication series
Name | IEEE Aerospace Conference Proceedings |
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Volume | 2016-June |
ISSN (Print) | 1095-323X |
Conference
Conference | IEEE Aerospace Conference |
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Country/Territory | United States |
City | Big Sky, Montana |
Period | 05.03.2016 → 12.03.2016 |
Internet address |