Model Centred Approach to Scientific Visualization
by
Bahari Belaton1 and Ken Brodlie2
1School of Computer Sciences, Universiti Sains Malaysia 11800
Penang, Malaysia
2School of Computing, University of Leeds, Leeds LS2 9JT, United
Kingdom
{bahari@cs.usm.my, kwb@comp.leeds.ac.uk}
Abstract
One of the crucial requirements for a Scientific Visualization system is
to produce reliable and
accurate results. There are many possible sources of errors that could
jeopardise these efforts,
such as measurement or simulation errors in the pre-analysis stage, or
errors generated in the
visualization process itself. Our focus here is to control errors
introduced during the
visualization processes. To this end we propose a conceptual model for
visualization known as
the Model Centred Approach (MCA). This new paradigm separates the modelling
and viewing
processes in visualization, and this provides the opportunity to consistently
utilise a single
modelling function throughout the visualization process. Results show that
consistent
visualizations are produced by our approach when compared to conventional
methods.