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

Temporal data, representing chronological observations of complex systems, has always
been a typical data structure that can be widely generated by many domains, such as …

Glyph-based visualization achieves an impressive graphic design when associated with
comprehensive visual metaphors, which help audiences effectively grasp the conveyed …

The exploratory visual analysis (EVA) of time series data uses visualization as the main
output medium and input interface for exploring new data. However, for users who lack …

Data science (DS) devotes to extract useful data from noisy one to form actionable insights. It
has broad applications in many domains such as internet search, tourism and social media …

Over the past decade, there has been a significant increase in the development of visual
analytics systems dedicated to addressing urban issues. These systems distill intricate …

Exploratory data analysis of high-dimensional datasets is a crucial task for which visual
analytics can be especially useful. However, the ad hoc nature of exploratory analysis can …

As urban populations grow, effectively accessing urban performance measures such as
livability and comfort becomes increasingly important due to their significant socioeconomic …

Counterfactuals–expressing what might have been true under different circumstances–have
been widely applied in statistics and machine learning to help understand causal …

As intelligent vehicles (IVs) continue to advance in fully connected environments, the
collection of data from various sources in intelligent transportation systems (ITSs) has …