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

This work presents a survey of the current state of the art of visualization techniques for
parallel coordinates. It covers geometric models for constructing parallel coordinates and …

Massive simulations and arrays of sensing devices, in combination with increasing
computing resources, have generated large, complex, high-dimensional datasets used to …

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

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 …

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**项进行有机融合 …

Air quality is a significant environmental issue among the Chinese people and even the
global population, and it affects both human health and the Earth's long-term sustainability …

The Parallel Coordinates plot is a popular tool for the visualization of high-dimensional data.
One of the main challenges when using parallel coordinates is occlusion and overplotting …

Parallel Coordinate Plots (PCPs) is one of the most powerful techniques for the visualization
of multivariate data. However, for large datasets, the representation suffers from clutter due …

We introduce Parallel Histogram Plot (PHP), a technique that overcomes the innate
limitations of parallel coordinates plot (PCP) by attaching stacked-bar histograms with …