Based on the seminar that took place in Dagstuhl, Germany in
June 2011, this contributed monograph studies the four important
topics within the scientific visualization field: uncertainty
visualization, multifield visualization, biomedical visualization
and scalable visualization.
Uncertainty visualization deals with uncertain data from
simulations or sampled data, uncertainty due to the mathematical
processes operating on the data, and uncertainty in the visual
representation,
Multifield visualization addresses the need to depict multiple
data at individual locations and the combination of multiple
datasets,
Biomedical is a vast field with select subtopics addressed from
scanning methodologies to structural applications to biological
applications,
Scalability in scientific visualization is critical as data grows
and computational devices range from hand-held mobile devices to
exascale computational platforms.
"Scientific Visualization" will be useful to practitioners of
scientific visualization, students interested in both overview and
advanced topics and those interested in knowing more about the
visualization process."
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