Dynamic graph visualization focuses on the challenge of representing the evolution of
relationships between entities in readable, scalable and effective diagrams. This work …

This survey provides an introduction into eye tracking visualization with an overview of
existing techniques. Eye tracking is important for evaluating user behaviour. Analysing eye …

Visualizations are now widely used across disciplines to understand and communicate data.
The benefit of visualizations lies in leveraging our natural visual perception. However, the …

Learning more about people mobility is an important task for official decision makers and
urban planners. Mobility data sets characterize the variation of the presence of people in …

We introduce time curves as a general approach for visualizing patterns of evolution in
temporal data. Examples of such patterns include slow and regular progressions, large …

A Space-Time Cube enables analysts to clearly observe spatio-temporal features in
movement trajectory datasets in geovisualization. However, its general usability is impacted …

We present the generalized space‐time cube, a descriptive model for visualizations of
temporal data. Visualizations are described as operations on the cube, which transform the …

The processes that cause and influence movement are one of the main points of enquiry in
movement ecology. However, ecology is not the only discipline interested in movement: a …

This study seeks to examine and analyze the spatial and temporal patterns of 2019 novel
coronavirus disease (COVID‐19) outbreaks and identify the spatiotemporal distribution …

Visual analytics plays a key role in the era of connected industry (or industry 4.0, industrial
internet) as modern machines and assembly lines generate large amounts of data and …