Chapter

3rd Kuala Lumpur International Conference on Biomedical Engineering 2006

Volume 15 of the series IFMBE Proceedings pp 602-606

Visualizing Collaborative Time-Varying Scientific Datasets

  • J. M. SharifAffiliated withDepartment of Computer System & Communication, University Technology of Malaysia
  • , M. S. S. OmarAffiliated withBioinformatics Research Lab, Faculty of Science, University Technology of Malaysia
  • , M. S. A. LatiffAffiliated withDepartment of Computer System & Communication, University Technology of Malaysia
  • , M. A. NgadiAffiliated withDepartment of Computer System & Communication, University Technology of Malaysia

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Abstract

Our perceptive of the scientific datasets has largely relied on numerical and statistical analysis of data from experimental dimension and computer simulation result [4][14][11][12][13]. In particular, we consider a simulated 3D time-varying model of scientific datasets and examine the temporal correlation among datasets. Our goal is to contrive effective visual representations to assist scientists in ascertaining temporal correlation among intricate and apparently chaotic scientific datasets. We propose a hybrid application with combination of streamline, global and local color scale and opacity scheme for spatio-temporal collaborative depiction. We illustrated also few images that can offer an effective tool for visually mining 3D time-varying scientific datasets.

Keywords

scientific data visualization hybrid scheme coding theory color scale time-varying data spatio-temporal visualization molecular dynamics visual representation