Visual Abstraction of Large Scale Geospatial Origin-Destination Movement Data

• Published in: IEEE transactions on visualization and computer graphics Vol. 25; no. 1; pp. 43 - 53
• Main Authors: Zhou, Zhiguang, Meng, Linhao, Tang, Cheng, Zhao, Ying, Guo, Zhiyong, Hu, Miaoxin, Chen, Wei
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Case studies; Clustering; Clutter; Correlation; Data visualization; Datasets; Filtration; flow map; Flow mapping; Geospatial analysis; human mobility; Human motion; Intersections; Mobile handsets; Natural language processing; origin-destination; Quantitative analysis; representation learning; Semantics; Visual abstraction; Visualization

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 to massive intersections and occlusions of lines...