Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

Develo** effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

Geographically-grounded situational awareness (SA) is critical to crisis management and is
essential in many other decision making domains that range from infectious disease …

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

We consider moving objects as multivariate time-series. By visually analyzing the attributes,
patterns may appear that explain why certain movements have occurred. Density maps as …

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 …

Understanding co-occurrence in urban human mobility (ie people from two regions visit an
urban place during the same time span) is of great value in a variety of applications, such as …

The analysis of large amounts of multidimensional road traffic data for anomaly detection is
a complex task. Visual analytics can bridge the gap between computational and human …

Many datasets nowadays contain links between geographic locations and natural language
texts. These links can be geotags, such as geotagged tweets or geotagged Wikipedia …

This article presents a geovisual analytics approach to discovering people's preferences for
landmarks and movement patterns from photos posted on the Flickr website. The approach …