基于停留点聚类分析的轨迹网络评估

Diego Minatel, Alan Valejo, A. Lopes
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引用次数: 4

摘要

GPS的普及产生了大量以轨迹组织的地理数据。轨迹是地理点的有序序列,表示任何移动对象的路径,它提供了该移动对象的移动行为的信息。为了提高对轨迹的理解,更重要的地方被称为停留点,表明用户在这个相应的地方停留了相当长的时间。在文献中,停留点通常通过网络表示,以方便轨迹挖掘。尽管如此,据我们所知,缺乏针对这些网络质量的研究。本文解决了这一差距,并通过使用外部效度标准通过停留点提出了网络结构分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trajectory Network Assessment Based on Analysis of Stay Points Cluster
The popularization of GPS has generated a massive amount of geographic data organized in trajectories. Trajectories are ordered sequences of geographic points that represent a path of any moving object, which provides information on the mobility behavior of this moving objects. To improve the understanding of trajectories, places of greater importance are referred to as stay points and indicate that a user has remained in this correspondent place for a significant time. In the literature, stay points are commonly represented through networks to facilitate trajectory mining. Nonetheless, to the best of our knowledge, there is a lack of studies addressing the quality of these networks. This article addresses this gap and presents a network construction analysis through stay points by using external validity criteria.
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