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

With data comes uncertainty, which is a widespread and frequent phenomenon in data
science and analysis. The amount of information available to us is growing exponentially …

Cartographic maps have been shown to provide cognitive benefits when interpreting data in
relation to a geographic location. In visualization, the term map‐like describes techniques …

This paper surveys visualization and interaction techniques for geospatial networks from a
total of 95 papers. Geospatial networks are graphs where nodes and links can be …

Air pollution has become a serious public health problem for many cities around the world.
To find the causes of air pollution, the propagation processes of air pollutants must be …

We present a novel type of circular treemap, where we intentionally allocate extra space for
additional visual variables. With this extended visual design space, we encode …

Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …

This paper provides an overview of uncertainty visualization in general, along with specific
examples of applications in bioinformatics. Starting from a processing and interaction …

Modern graph datasets with structural complexity and uncertainties due to incomplete
information or data variability require advanced modeling techniques beyond conventional …

Deriving the exact casual model that governs the relations between variables in a
multidimensional dataset is difficult in practice. It is because causal inference algorithms by …