主题信息呢?个人流动的多维可视化分析

IF 3.8 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Aline Menin , Clément Quere , Jorge Wagner , Sonia Chardonnel , Paule-Annick Davoine , Wolfgang Stuerzlinger , Carla Maria Dal Sasso Freitas , Luciana Nedel , Marco Winckler
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引用次数: 0

摘要

本文综述了关于个人移动数据可视化的文献,重点介绍了主题集成。它强调了可视化在理解人口流动模式中的重要性,以及它如何帮助流动专家解决特定领域的问题。我们分析了2010年至2024年间发表在GIS和VIS领域的38篇论文,这些论文描述了与城市环境中个人运动相关的多维数据的可视化,重点关注个人移动性而不是交通数据。我们的主要目的是报告个人流动性分析的交互式可视化方面的进展,特别是关于人们流动性动机的主题信息的表示。我们的研究结果表明,尽管主题维度在交通运输中具有重要意义,但它在文献中仅得到部分体现。这种差距通常源于识别本质上提供此信息的数据源的挑战,这要求可视化设计人员和开发人员导航多个异构数据源。我们确定现有可视化的优势和局限性,并提出该领域潜在的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

What about thematic information? An analysis of the multidimensional visualization of individual mobility

What about thematic information? An analysis of the multidimensional visualization of individual mobility
This paper reviews the literature on the visualization of individual mobility data, with a focus on thematic integration. It emphasizes the importance of visualization in understanding mobility patterns within a population and how it helps mobility experts address domain-specific questions. We analyze 38 papers published between 2010 and 2024 in GIS and VIS venues that describe visualizations of multidimensional data related to individual movements in urban environments, concentrating on individual mobility rather than traffic data. Our primary aim is to report advances in interactive visualization for individual mobility analysis, particularly regarding the representation of thematic information about people’s motivations for mobility. Our findings indicate that the thematic dimension is only partially represented in the literature, despite its critical significance in transportation. This gap often stems from the challenge of identifying data sources that inherently provide this information, necessitating visualization designers and developers to navigate multiple, heterogeneous data sources. We identify the strengths and limitations of existing visualizations and suggest potential research directions for the field.
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来源期刊
Visual Informatics
Visual Informatics Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.70
自引率
3.30%
发文量
33
审稿时长
79 days
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