As numerical simulation processes often suffer from erroneous or incomplete physical measurement input data or error sources in the utilized algorithm, the resulting data sets are often affected by a significant degree of uncertainty and cannot be regarded as a reliable source for correct interpretations. The PhD thesis provides significant contributions to the research field of uncertainty visualization and proposes several novel algorithms, allowing a more comprehensive visualization and interpretation of multi-dimensional uncertain scalar data sets.
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As numerical simulation processes often suffer from erroneous or incomplete physical measurement input data or error sources in the utilized algorithm, the resulting data sets are often affected by a significant degree of uncertainty and cannot be regarded as a reliable source for correct interpretations. The PhD thesis provides significant contributions to the research field of uncertainty visualization and proposes several novel algorithms, allowing a more comprehensive visualization and inter...
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