Data visualization

Evaluating Multi-Dimensional Visualizations for Understanding Fuzzy Clusters.

Fuzzy clustering assigns a probability of membership for a datum to a cluster, which veritably reflects real-world clustering scenarios but significantly increases the complexity of understanding fuzzy clusters. Many studies have demonstrated that …

Visual Abstraction of Large Scale Geospatial Origin-Destination Movement Data.

A variety of human movement datasets are represented in an Origin-Destination(OD) form, such as taxi trips, mobile phone locations, etc. As a commonly-used method to visualize OD data, flow map always fails to discover patterns of human mobility, due …

Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions.

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 and the use of transportation infrastructure to better support …

BoundarySeer: Visual Analysis of 2D Boundary Changes.

Boundary changes exist ubiquitously in our daily life. From the Antarctic ozone hole to the land desertification, and from the territory of a country to the area within one-hour reach from a downtown location, boundaries change over time. With a …

VAET: A Visual Analytics Approach for E-transactions Time-series.

Previous studies on E-transaction time-series have mainly focused on finding temporal trends of transaction behavior. Interesting transactions that are time-stamped and situation-relevant may easily be obscured in a large amount of information. This …