Flow visualization has been a very attractive component of scientific visualization research
for a long time. Usually very large multivariate datasets require processing. These datasets …

With data comes uncertainty, which is a widespread and frequent phenomenon in data
science and analysis. The amount of information available to us is growing exponentially …

The goal of visualization is to effectively and accurately communicate data. Visualization
research has often overlooked the errors and uncertainty which accompany the scientific …

Color map** is an important technique used in visualization to build visual
representations of data and information. With output devices such as computer displays …

We present an approach to visualizing correlations in 3D multifield scalar data. The core of
our approach is the computation of correlation fields, which are scalar fields containing the …

Flow visualization is a well established branch of scientific visualization and it currently
represents an invaluable resource to many fields, like automotive design, meteorology and …

Designing tensor fields in the plane and on surfaces is a necessary task in many graphics
applications, such as painterly rendering, pen-and-ink sketching of smooth surfaces, and …

In many applications, it is important to understand the individual values of, and relationships
between, multiple related scalar variables defined across a common domain. Several …

Multivariate spatial data play an important role in computational science and engineering
simulations. The potential features and hidden relationships in multivariate data can assist …

This paper proposes comparison and visualization techniques to carry out parameter
studies for the special application area of dimensional measurement using 3D X-ray …