We review a range of temporal data visualization techniques through a new lens, by
describing them as series of op-erations performed on a conceptual space-time cube. These …

Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

Time is an exceptional dimension with high relevance in medicine, engineering, business,
science, biography, history, planning, or project management. Understanding time-oriented …

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 …

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

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 …

Tactic analysis is a major issue in badminton as the effective usage of tactics is the key to
win. The tactic in badminton is defined as a sequence of consecutive strokes. Most existing …

Designing visualizations of dynamic networks is challenging, both because the data sets
tend to be complex and because the tasks associated with them are often cognitively …

The visual analysis of time dependent data is an essential task in many application fields.
However, visualizing large time dependent data collected within a spatial context is still a …

Bus routes are typically updated every 3–5 years to meet constantly changing travel
demands. However, identifying deficient bus routes and finding their optimal replacements …