This paper presents a robust and efficient method for tracking topological features in time-
varying scalar data. Structures are tracked based on the optimal matching between …

Timelines are common visualizations to represent and manipulate temporal data. However,
timeline visualizations rarely consider spatio-temporal 3D data (eg mesh or volumetric …

Time-varying volume data is often generated from scientific simulations in a variety of
application domains, such as computational fluid dynamics, combustion science, and …

This paper presents an approach for the interactive visualization, exploration and
interpretation of large multivariate time series. Interesting patterns in such datasets usually …

Effective analysis of features in time-varying data is essential in numerous scientific
applications. Feature extraction and tracking are two important tasks scientists rely upon to …

Graphs represent general node‐link diagrams and have long been utilized in scientific
visualization for data organization and management. However, using graphs as a visual …

The voluminous nature of geospatial temporal data from physical monitors and simulation
models poses challenges to efficient data access, often resulting in cumbersome temporal …

Histograms computed from local regions are commonly used in many visualization
applications, and allowing the user to query histograms interactively in regions of arbitrary …

High-resolution simulation data sets provide plethora of information, which needs to be
explored by application scientists to gain enhanced understanding about various …

Empowered by rapid advance of high performance computer architectures and software, it is
now possible for scientists to perform high resolution simulations with unprecedented …