Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …

Analysis of movement is currently a hot research topic in visual analytics. A wide variety of
methods and tools for analysis of movement data has been developed in recent years. They …

可视分析是大数据分析的重要方法. 大数据可视分析旨在利用计算机自动化分析能力的同时,
充分挖掘人对于可视化信息的认知能力优势, 将人, 机的各自强项进行有机融合 …

Data-driven intelligent transportation systems utilize data resources generated within
intelligent systems to improve the performance of transportation systems and provide …

Learning more about people mobility is an important task for official decision makers and
urban planners. Mobility data sets characterize the variation of the presence of people in …

Information visualization has traditionally limited itself to 2D representations, primarily due to
the prevalence of 2D displays and report formats. However, there has been a recent surge in …

Designing a complete visualization system involves many subtle decisions. When designing
a complex, real-world visualization system, such decisions involve many types of …

Visual analytics employs interactive visualizations to integrate users' knowledge and
inference capability into numerical/algorithmic data analysis processes. It is an active …

Sampling is a widely used graph reduction technique to accelerate graph computations and
simplify graph visualizations. By comprehensively analyzing the literature on graph …

Many cities and countries are now striving to create intelligent transportation systems that
utilize the current abundance of multisource and multiform data related to the functionality …