Visualization and visual analysis play important roles in exploring, analyzing, and
presenting scientific data. In many disciplines, data and model scenarios are becoming …

Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …

In this paper, we discuss the extension and integration of the statistical concept of Kernel
Density Estimation (KDE) in a scatterplot-like visualization for dynamic data at interactive …

Genomic and epidemiological monitoring have become an integral part of our response to
emerging and ongoing epidemics of viral infectious diseases. Advances in high-throughput …

Graphics artists commonly employ physically-based simulation for the generation of effects
such as smoke, explosions, and similar phenomena. The task of finding the correct …

Time-series data-usually presented in the form of lines-plays an important role in many
domains such as finance, meteorology, health, and urban informatics. Yet, little has been …

Typical scientific data is represented on a grid with appropriate interpolation or
approximation schemes, defined on a continuous domain. The visualization of such data in …

Visualization research often seeks designs that first establish an overview of the data, in
accordance to the information seeking mantra:“Overview first, zoom and filter, then details on …

Parallel coordinate plots (PCPs) are commonly used in information visualization to provide
insight into multi-variate data. These plots help to spot correlations between variables. PCPs …

Close collaboration with other scientific fields is an important goal for the visualization
community. Yet engaging in a scientific collaboration can be challenging. The physical …