4.0 Article

A Novel Method for Classifying Function of Spatial Regions Based on Two Sets of Characteristics Indicated by Trajectories

出版社

IGI GLOBAL
DOI: 10.4018/IJDWM.2020070101

关键词

Function of Spatial Regions; Global Connection Characteristics; Local Spatiotemporal Characteristics; Spatial Classification; Trajectory

资金

  1. Jiangsu Government Scholarship for Overseas Studies
  2. Natural Science Foundation of China [41201465]
  3. Natural Science Foundation of Jiangsu province [BK2012439, BE2016774]

向作者/读者索取更多资源

Trajectory is a significant factor for classifying functions of spatial regions. Many spatial classification methods use trajectories to detect buildings and districts in urban settings. However, methods that only take into consideration the local spatiotemporal characteristics indicated by trajectories may generate inaccurate results. In this article, a novel method for classifying function of spatial regions based on two sets of characteristics indicated by trajectories is proposed, in which the local spatiotemporal characteristics as well as the global connection characteristics are obtained through two sets of calculations. The method was evaluated in two experiments: one that measured changes in the classification metric through a splits ratio factor, and one that compared the classification performance between the proposed method and methods based on a single set of characteristics. The results showed that the proposed method is more accurate than the two traditional methods, with a precision value of 0.93, a recall value of 0.77, and an F-Measure value of 0.84.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.0
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据