Summary
We describe a framework for Visualization in Scientific Computing (ViSC). Our interest is in visualizing time dependent multidimensional data. Our proposal is to isolate the data reduction process from the graphical presentation process and to consider time as a continuous variable, treating it as a first class object. The framework is based on the following three models:
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A scientific data model, derived from the theory of fiber bundles, encapsulating multidimensional data over time and implemented as a cluster of classes.
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A graphical data model which is a set of time dependent objects encapsulating shape and shading. This model appears to the external world as a set of independent variables.
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A linear inductive reductive dataflow model that supports the progressive reduction of scientific variables and the progressive computation of graphical variables.
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© 1997 Springer-Verlag Berlin Heidelberg
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Lemordant, J. (1997). Linear Inductive Reductive Dataflow System for ViSC. In: Hege, HC., Polthier, K. (eds) Visualization and Mathematics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59195-2_18
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DOI: https://doi.org/10.1007/978-3-642-59195-2_18
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