基于ECharts的船舶航运信息可视化系统设计与开发  

Design and Development of Ship Shipping Information Visualization System Based on ECharts

作　　者：王方雄[1,2] 李莹[1,2] WANG Fangxiong;LI Ying(Liaoning Key Lab of Physical Geography and Geomatics,Liaoning Normal University,Dalian Liaoning 116029;School of Geographical Sciences,Liaoning Normal University,Dalian Liaoning 116029)

机构地区：[1]辽宁师范大学地理科学学院,辽宁大连116029 [2]辽宁师范大学辽宁省自然地理与空间信息科学重点实验室,辽宁大连116029

出　　处：《软件》2023年第8期80-84,共5页Software

摘　　要：本文从船舶轨迹数据的特点入手,采用基于密度的聚类算法对船舶轨迹实现聚类,同时调用高德地图API与ECharts可视化库,对船舶航运信息进行可视化显示,揭示船舶轨迹特征,最终完成了系统的设计与开发。对于船舶轨迹聚类特征的探究,有助于揭示海域中船舶航道的分布特征、对港口主管部门实施的通航和环境管理工作奠定基础理论支持,进而为海上运输和交通规划建设提供更加直观的科学依据。This paper starts with the characteristics of ship trajectory data,adopts density-based clustering algorithm to cluster ship trajectory,and invokes amap API and ECharts visualization library to visually display ship shipping information and reveal ship trajectory characteristics,and finally completes the design and development of the system.The exploration of ship trajectory clustering features is helpful to reveal the distribution characteristics of ship channels in the sea area,lay the basic theoretical support for the navigation and environmental management implemented by the port authorities,and then provide a more intuitive scientific basis for Marine transport and traffic planning and construction.

关 键 词：AIS 大数据 时空聚类算法 KANN-DBSCAN ECharts 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]