Context: Software visualizations can help developers to analyze multiple aspects of complex
software systems, but their effectiveness is often uncertain due to the lack of evaluation …

Understanding and accounting for uncertainty is critical to effectively reasoning about
visualized data. However, evaluating the impact of an uncertainty visualization is complex …

In this paper, we survey illustrative rendering techniques for 3D surface models. We first
discuss the field of illustrative visualization in general and provide a new definition for this …

During data preprocessing, analysts spend a significant part of their time and effort profiling
the quality of the data along with cleansing and transforming the data for further analysis …

Medical visualization aims at directly supporting physicians in diagnosis and treatment
planning, students and residents in medical education, and medical physicists as well as …

Purpose Overcoming the flaws of current data management conditions in head and neck
oncology could enable integrated information systems specifically tailored to the needs of …

Ensemble simulations are used in climate research to account for natural variability. For
medium-term decadal predictions, each simulation run is initialized with real observations …

Evaluative practices within vis research are not routinely compared to those of psychology,
sociology, or other areas of empirical study, leaving vis vulnerable to the replicability crisis …

Heuristic evaluation is a usability inspection method that has been adapted to evaluate
visualization applications through the development of specific sets of heuristics. This paper …

There is an ongoing discussion in the visualization community about the relevant factors that
render a visualization effective, expressive, memorable, aesthetically pleasing, etc. These …