Clustering is an efficient way to group data into different classes on basis of the internal and
previously unknown schemes inherent of the data. With the development of the location …

Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

Human mobility is important for understanding the evolution of size and structure of urban
areas, the spatial distribution of facilities, and the provision of transportation services. Until …

Maritime traffic route is the basis for the analysis of ship traffic characteristics and navigation
safety. However, the spatial freedom of ship navigation makes the extraction of maritime …

While exploring human mobility can benefit many applications such as smart transportation,
city planning, and urban economics, there are two key questions that need to be …

The advances of positioning technologies and the widespread use of mobile devices bring
us massive data with location information, or so-called big geo-data. One important part of …

Urban computing is an emerging area of investigation in which researchers study cities
using digital data. Location-Based Social Networks (LBSNs) generate one specific type of …

Movement analysis has become an integral part of many disciplines, yet with relatively little
overlap. A foresight paper in this journal entitled “Towards an integrated science of …

A mobility model is an essential requirement in accurately predicting an individual's future
location. While extensive studies have been conducted to predict human mobility, previous …

移动互联技术的飞速发展催生了大量的移动对象轨迹数据. 这些数据刻画了个体和群体的时空
动态性, 蕴含着人类, 车辆, 动物的行为信息, 对交通导航, 城市规划, 车辆监控等应用具有重要的 …