Cartograms combine statistical and geographical information in thematic maps, where areas
of geographical regions (eg, countries, states) are scaled in proportion to some statistic (eg …

The question whether to use 2D or 3D for data visualization is generally difficult to decide.
Two-dimensional and three-dimensional visualization techniques exhibit different …

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

Observing the relationship between two or more variables over space and time is essential
in many domains. For instance, looking, for different countries, at the evolution of both the life …

Cartograms are used to visualize geographically distributed data by scaling the regions of a
map (eg, US states) such that their areas are proportional to some data associated with them …

Contour plots are widely used in geospatial data visualization as they provide natural
interpretation of information across spatial scales. To compare a geospatial attribute against …

Abstract Knowledge of public opinion is key to understanding citizens' attitudes towards
environmental policies. However, large polls and surveys generate complex datasets from …

We describe bivariate cartograms, a technique specifically designed to allow for the
simultaneous comparison of two geo-statistical variables. Traditional cartograms are …

Crimes, forest fires, accidents, infectious diseases, or human interactions with mobile
devices (eg, tweets) are being logged as spatiotemporal events. For each event, its …

Urban heat islands are local areas where the temperature is much higher than in the vicinity
and are a modern phenomenon that occurs mainly in highly developed areas, such as large …