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VR Visualisation as an interdisciplinary collaborative data exploration tool for large eddy simulations of biosphere-atmosphere interactions

Publication ,  Conference
Bohrer, G; Longo, M; Zielinski, DJ; Brady, R
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
December 1, 2008

Scientific research has become increasingly interdisciplinary, and clear communication is fundamental when bringing together specialists from different areas of knowledge. This work aims at discussing the role of fully immersive virtual reality experience to facilitate interdisciplinary communication by utilising the Duke Immersive Virtual Environment (DiVE), a CAVElike system, to explore the complex and high-resolution results from the Regional Atmospheric Modelling System-based Forest Large-Eddy Simulation (RAFLES) model coupled with the Ecosystem Demography model (ED2). VR exploration provided an intuitive environment to simultaneously analyse canopy structure and atmospheric turbulence and fluxes, attracting and engaging specialists from various backgrounds during the early stages of the data analysis. The VR environment facilitated exploration of large multivariate data with complex and not fully understood non-linear interactions in an intuitive and interactive way. This proved fundamental to formulate hypotheses about tree- scale atmosphere-canopy-structure interactions and define the most meaningful ways to display the results. © Springer-Verlag Berlin Heidelberg 2008.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783540896388

Publication Date

December 1, 2008

Volume

5358 LNCS

Issue

PART 1

Start / End Page

856 / 866

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Bohrer, G., Longo, M., Zielinski, D. J., & Brady, R. (2008). VR Visualisation as an interdisciplinary collaborative data exploration tool for large eddy simulations of biosphere-atmosphere interactions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5358 LNCS, pp. 856–866). https://doi.org/10.1007/978-3-540-89639-5_82
Bohrer, G., M. Longo, D. J. Zielinski, and R. Brady. “VR Visualisation as an interdisciplinary collaborative data exploration tool for large eddy simulations of biosphere-atmosphere interactions.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5358 LNCS:856–66, 2008. https://doi.org/10.1007/978-3-540-89639-5_82.
Bohrer G, Longo M, Zielinski DJ, Brady R. VR Visualisation as an interdisciplinary collaborative data exploration tool for large eddy simulations of biosphere-atmosphere interactions. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008. p. 856–66.
Bohrer, G., et al. “VR Visualisation as an interdisciplinary collaborative data exploration tool for large eddy simulations of biosphere-atmosphere interactions.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5358 LNCS, no. PART 1, 2008, pp. 856–66. Scopus, doi:10.1007/978-3-540-89639-5_82.
Bohrer G, Longo M, Zielinski DJ, Brady R. VR Visualisation as an interdisciplinary collaborative data exploration tool for large eddy simulations of biosphere-atmosphere interactions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008. p. 856–866.
Journal cover image

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783540896388

Publication Date

December 1, 2008

Volume

5358 LNCS

Issue

PART 1

Start / End Page

856 / 866

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences