Visualization and visual analysis of vessel trajectory data: A survey

作     者：Haiyan Liu Xiaohui Chen Yidi Wang Bing Zhang Yunpeng Chen Ying Zhao Fangfang Zhou Haiyan Liu;Xiaohui Chen;Yidi Wang;Bing Zhang;Yunpeng Chen;Ying Zhao;Fangfang Zhou

作者机构：Institute of Data and Target EngineeringInformation Engineering UniversityZhengzhouChina School of Computer Science and EngineeringCentral South UniversityChangshaChina Rail Data Research and Application Key Laboratory of Hunan ProvinceChangshaChina 

出 版 物：《Visual Informatics》 (可视信息学（英文）)

年 卷 期：2021年第5卷第4期

页      面：1-10页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by the National Natural Science Foundation of China(No.41801313 41901397 and 61872388) 

主　　题：Maritime traffic Vessel trajectory data Automatic identification system Visualization and visual analysis 

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