Visualized data often has dubious origins.
One way to define data lineage is by describing the uncertainty.
In addition,
different forms of uncertainty and errors are also introduced
as the data is derived, transformed, interpolated, and finally
rendered.
In the absence of integrated presentation of data and its
associated uncertainty,
the analysis of the visualization is incomplete at best
and often leads to inaccurate or incorrect conclusions.
This paper presents several techniques of presenting
data together with uncertainty.
The idea behind these techniques can be applied to both
spatial (e.g. surface) and temporal (i.e. animation) domains.
We describe these techniques of representing the truths about the
data as verity visualization.
The same techniques can also be used to make the
users aware of the data quality or
to emphasize and draw their attention to the uncertainty.
Keywords:
data quality, uncertainty glyphs, fat surfaces, perturbations, oscillations.
Paper:
A pdf version of this technical report
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here.