Large-scale comparative visualisation of sets of multidimensional data

Dany Vohl, David Graeme Barnes, Christopher J Fluke, Govinda Poudel, Nellie Georgiou-Karistianis, Amr Hassan Hassan, Yuri Benovitski, Tsz Ho Wong, Owen Kaluza, Toan Dinh Nguyen, Craig Paul Bonnington

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Article numbere88
Number of pages36
JournalPeerJ Computer Science
Volume2
Issue number10
DOIs
Publication statusPublished - 2016

Keywords

  • Scientific data visualisation
  • Tiled-display
  • Comparative Visualisation
  • Immersive environments
  • CAVE2

Cite this

Vohl, D., Barnes, D. G., Fluke, C. J., Poudel, G., Georgiou-Karistianis, N., Hassan, A. H., Benovitski, Y., Wong, T. H., Kaluza, O., Nguyen, T. D., & Bonnington, C. P. (2016). Large-scale comparative visualisation of sets of multidimensional data. PeerJ Computer Science, 2(10), [e88]. https://doi.org/10.7717/peerj-cs.88