Large-scale comparative visualisation of sets of multidimensional data
October 03, 2016 Β· Declared Dead Β· π PeerJ Computer Science
"No code URL or promise found in abstract"
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Authors
Dany Vohl, David G. Barnes, Christopher J. Fluke, Govinda Poudel, Nellie Georgiou-Karistianis, Amr H. Hassan, Yuri Benovitski, Tsz Ho Wong, Owen Kaluza, Toan D. Nguyen, C. Paul Bonnington
arXiv ID
1610.00760
Category
cs.HC: Human-Computer Interaction
Cross-listed
astro-ph.IM
Citations
20
Venue
PeerJ Computer Science
Last Checked
4 months ago
Abstract
We present encube $-$ a qualitative, quantitative and comparative visualisation and analysis system, with application to high-resolution, immersive three-dimensional environments and desktop displays. encube extends previous comparative visualisation systems by considering: 1) the integration of comparative visualisation and analysis into a unified system; 2) the documentation of the discovery process; and 3) an approach that enables scientists to continue the research process once back at their desktop. Our solution enables tablets, smartphones or laptops to be used as interaction units for manipulating, organising, and querying data. We highlight the modularity of encube, allowing additional functionalities to be included as required. Additionally, our approach supports a high level of collaboration within the physical environment. We show how our implementation of encube operates in a large-scale, hybrid visualisation and supercomputing environment using the CAVE2 at Monash University, and on a local desktop, making it a versatile solution. We discuss how our approach can help accelerate the discovery rate in a variety of research scenarios.
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