Geo-SigSPM: mining geographically interesting and significant sequential patterns from trajectories

IF 4.3 1区地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Geographical Information Science Pub Date : 2024-02-29 DOI:10.1080/13658816.2024.2320149

Anshu Zhang, Wenzhong Shi, Zhewei Liu, Xiaolin Zhou

引用次数: 0

Abstract

Interesting sequential patterns in human movement trajectories can provide valuable knowledge for urban management, planning, and location-based business. Existing methods for mining such patterns,...

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Geo-SigSPM：从轨迹中挖掘具有地理意义的重要序列模式

人类运动轨迹中有趣的序列模式可为城市管理、规划和基于位置的业务提供宝贵的知识。现有的挖掘此类模式的方法...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Geographical Information Science 地学-计算机：信息系统

CiteScore

11.00

自引率

7.00%

发文量

审稿时长

9 months

期刊介绍： International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.