测绘学报 ›› 2025, Vol. 54 ›› Issue (6): 967-981.doi: 10.11947/j.AGCS.2025.20240409

• 综述 •    下一篇

虚拟轨迹:概念特征和研究框架

吴华意1,2(), 董广胜1,2(), 李锐1,2   

  1. 1.武汉大学测绘遥感信息工程全国重点实验室,湖北 武汉 430079
    2.地球空间信息技术协同创新中心,湖北 武汉 430079
  • 收稿日期:2024-09-30 修回日期:2025-05-12 出版日期:2025-07-14 发布日期:2025-07-14
  • 通讯作者: 董广胜 E-mail:wuhuayi@whu.edu.cn;guangshengdong@whu.edu.cn
  • 作者简介:吴华意(1966—),男,博士,教授,研究方向为地理信息服务、分析和挖掘。E-mail:wuhuayi@whu.edu.cn
  • 基金资助:
    国家自然科学基金(42301485);湖北省自然科学基金(2023AFB184);中央高校基本科研业务费专项基金

Virtual trajectories: conceptual characteristics and research framework

Huayi WU1,2(), Guangsheng DONG1,2(), Rui LI1,2   

  1. 1.State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
    2.Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
  • Received:2024-09-30 Revised:2025-05-12 Online:2025-07-14 Published:2025-07-14
  • Contact: Guangsheng DONG E-mail:wuhuayi@whu.edu.cn;guangshengdong@whu.edu.cn
  • About author:WU Huayi (1966—), male, PhD, professor, majors in geographic information service, analysis and mining. E-mail: wuhuayi@whu.edu.cn
  • Supported by:
    The National Natural Science Foundation of China(42301485);Hubei Provincial Natural Science Foundation of China(2023AFB184);Fundamental Research Funds for the Central Universities

摘要:

人与虚拟空间的时空交互过程形成了虚拟轨迹。虚拟轨迹为研究人与虚拟/物理空间的关系提供了新的视角。公共地图服务平台作为一种应用最为广泛的虚拟空间,其空间基准与物理空间一致,该空间下的虚拟轨迹蕴含了人的兴趣偏好,能够预示物理空间中潜在的空间交互倾向,是当前主流研究对象。然而,虚拟轨迹的概念特征和研究框架尚未确立,阻碍了虚拟轨迹研究的发展。本文定义了该空间下虚拟轨迹的基本概念,分析了虚拟轨迹的多尺度、不确定性特征,从表达建模和分析挖掘角度提出了虚拟轨迹研究框架。表达建模方法包括时序降噪、空间降维、空间分割的时空表达,基于目标点识别与筛选的路径还原,以及结合空间共现和语义匹配的语义还原。分析挖掘体系梳理了领域分类、主题聚类、动态演化等个体模式研究方向,以及时空分布规律、时空分布预测、虚实关联模式等群体模式研究现状。在理论基础、技术体系、空间语义、开源数据、应用场景方面探讨未来的研究方向,本文所构建的虚拟轨迹研究框架也将成为理解人在虚拟空间中空间活动规律的新范式。

关键词: 虚拟空间, 虚拟轨迹, 多尺度, 不确定性, 公共地图服务平台

Abstract:

The spatio-temporal interactions between humans and virtual spaces generate virtual trajectories, providing a novel perspective for analyzing the relationship between individuals and virtual/physical spaces. Public map service platforms, as one of the most prevalent forms of virtual space, maintain spatial references consistent with physical space. Virtual trajectories within this space reflect human preferences and can predict potential spatial interaction patterns in the physical space, making them a central focus of current research. However, the conceptual characteristics and research framework of virtual trajectories remain undeveloped, hindering progress in this area. This paper defines the fundamental concepts of virtual trajectories in this space, analyzes the multi-scale and uncertain characteristics of virtual trajectories, and proposes a research framework grounded in modeling and analysis. The modeling methods encompass spatio-temporal representation, including temporal noise reduction, spatial dimensionality reduction, and spatial segmentation; path restoration based on browsing target identification and filtering; and semantic restoration that integrates spatial co-occurrence with semantic matching. The analytical framework identifies research directions for individual patterns, such as domain classification, topic clustering, and dynamic evolution, while outlining the current state of research on group patterns, including spatiotemporal distribution, spatiotemporal prediction, and virtual-physical interaction patterns. Future research directions are explored concerning theoretical foundations, technical approaches, spatial semantics, open-source data, and application scenarios. The proposed research framework offers a new paradigm for understanding human spatial activity patterns within virtual spaces.

Key words: virtual space, virtual trajectory, multi-scale, uncertainty, public map service platform

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