Visualization and visual analysis of vessel trajectory data: A survey

IF 3.8 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Haiyan Liu , Xiaohui Chen , Yidi Wang , Bing Zhang , Yunpeng Chen , Ying Zhao , Fangfang Zhou
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引用次数: 19

Abstract

Maritime transports play a critical role in international trade and commerce. Massive vessels sailing around the world continuously generate vessel trajectory data that contain rich spatial–temporal patterns of vessel navigations. Analyzing and understanding these patterns are valuable for maritime traffic surveillance and management. As essential techniques in complex data analysis and understanding, visualization and visual analysis have been widely used in vessel trajectory data analysis. This paper presents a literature review on the visualization and visual analysis of vessel trajectory data. First, we introduce commonly used vessel trajectory data sets and summarize main operations in vessel trajectory data preprocessing. Then, we provide a taxonomy of visualization and visual analysis of vessel trajectory data based on existing approaches and introduce representative works in details. Finally, we expound on the prospects of the remaining challenges and directions for future research.

船舶轨迹数据的可视化与可视化分析综述
海运在国际贸易和商业中起着至关重要的作用。世界各地航行的大量船舶不断产生船舶轨迹数据,这些数据包含丰富的船舶航行时空模式。分析和理解这些模式对海上交通监控和管理具有重要意义。可视化和可视化分析作为复杂数据分析和理解的关键技术,在船舶轨迹数据分析中得到了广泛的应用。本文对船舶航迹数据的可视化和可视化分析进行了综述。首先介绍了常用的船舶轨迹数据集,总结了船舶轨迹数据预处理的主要操作。然后,在现有方法的基础上,对船舶轨迹数据可视化和可视化分析进行了分类,并详细介绍了代表性的研究成果。最后,对研究中存在的挑战和未来的研究方向进行了展望。
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
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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