【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。更多还原

【Abstract】 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.更多还原