面向轨迹可视化的泛地图表达维度关联方法及应用

doi:10.13474/j.cnki.11-2246.2024.1110

测绘通报 ›› 2024, Vol. 0 ›› Issue (11): 56-60,96.doi: 10.13474/j.cnki.11-2246.2024.1110

• 学术研究 • 上一篇

面向轨迹可视化的泛地图表达维度关联方法及应用

邓志钢^1,2,3, 郭仁忠^1,2,3, 陈业滨^1,2,3, 马丁^1,2,3, 赵志刚^1,2,3, 朱维^1,2,3

1. 深圳大学建筑与城市规划学院智慧城市研究院, 广东深圳 518060;
2. 粤港澳智慧城市联合实验室, 广东深圳 518060;
3. 自然资源部国土空间大数据工程技术创新中心, 广东深圳 518060

收稿日期:2024-03-01 发布日期:2024-12-05
通讯作者: 陈业滨,E-mail:chenyebin@szu.edu.cn
作者简介:邓志钢(1999-),男,硕士生,主要从事地图学研究。E-mail:2277929849@qq.com
基金资助:
国家自然科学基金(42301502);国家自然科学基金面上项目(42171265);广东省自然科学基金面上项目(2022A1515012120);国家自然科学基金重点项目(41930104);中国博士后科学基金面上项目(2023M732345)

Implementing the pan-map dimension association approach for trajectory visualization

DENG Zhigang^1,2,3, GUO Renzhong^1,2,3, CHEN Yebin^1,2,3, MA Ding^1,2,3, ZHAO Zhigang^1,2,3, ZHU Wei^1,2,3

1. Research Institute for Smart City, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China;
2. Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities, Shenzhen 518060, China;
3. Technology Innovation Center of Territorial & Spatial Big Data, MNR, Shenzhen 518060, China

Received:2024-03-01 Published:2024-12-05

摘要/Abstract

摘要： 随着信息技术的进步,非专业人员参与轨迹表达的门槛逐渐降低,但轨迹表达方案依然高度依赖于用户对表达需求和信息价值的理解。针对轨迹表达的泛化特点,本文归纳轨迹数据的泛化表达需求,基于可视化维度理论构建需求和可视化维度之间的关联关系。其中,重点分析了时间结构、几何逻辑、空间维数、空间组织和表达尺度维度与表达需求之间的表达特点;并以时空立方体、个人旅行时间轴、OD轨迹流图为例,分析了不同维度组合下的轨迹表达特征。研究表明:基于可视化维度理论进行轨迹表达是可行的,从可视化维度理论研究轨迹表达具有重要价值。

关键词: 轨迹数据, 轨迹可视化, 泛地图, 可视化维度

Abstract: The barrier to participation in trajectory expression has continuously lowered with the development of information technology; however, the trajectory expression scheme still heavily relies on the user's comprehension of the information value and expression requirements. As a result, this study establishes the association between needs and visualization dimensions based on the theory of visualization dimensions and presents the generalization expression requirements of trajectory data in light of the generalization characteristics of trajectory expression. The space-time cube, personal travel timeline, and OD trajectory flow diagram are used as examples to analyze the trajectory expression characteristics under various dimensional combinations. The research focuses on the analysis of the expression characteristics between the temporal structure, geometric logic, spatial dimension, spatial organization, and expression scale dimensions and the expression demand. The findings demonstrate that it is possible to do trajectory expression using the visual dimension theory, and that studying the visualization dimension theory's trajectory expression is very beneficial.

Key words: trajectory data, trajectory visualization, pan-map, visualization dimensions

中图分类号:

P208

邓志钢, 郭仁忠, 陈业滨, 马丁, 赵志刚, 朱维. 面向轨迹可视化的泛地图表达维度关联方法及应用[J]. 测绘通报, 2024, 0(11): 56-60,96.

DENG Zhigang, GUO Renzhong, CHEN Yebin, MA Ding, ZHAO Zhigang, ZHU Wei. Implementing the pan-map dimension association approach for trajectory visualization[J]. Bulletin of Surveying and Mapping, 2024, 0(11): 56-60,96.

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面向轨迹可视化的泛地图表达维度关联方法及应用

Implementing the pan-map dimension association approach for trajectory visualization

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