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基于空间聚类分析的南海主要航线提取方法

王加胜 刘永学 杨昆 李满春 孙超

王加胜, 刘永学, 杨昆, 李满春, 孙超. 基于空间聚类分析的南海主要航线提取方法[J]. 交通运输工程学报, 2016, 16(6): 91-98.
引用本文: 王加胜, 刘永学, 杨昆, 李满春, 孙超. 基于空间聚类分析的南海主要航线提取方法[J]. 交通运输工程学报, 2016, 16(6): 91-98.
WANG Jia-sheng, LIU Yong-xue, YANG Kun, LI Man-chun, SUN Chao. Extraction method of main routes in South China Sea based on spatial cluster analysis[J]. Journal of Traffic and Transportation Engineering, 2016, 16(6): 91-98.
Citation: WANG Jia-sheng, LIU Yong-xue, YANG Kun, LI Man-chun, SUN Chao. Extraction method of main routes in South China Sea based on spatial cluster analysis[J]. Journal of Traffic and Transportation Engineering, 2016, 16(6): 91-98.

基于空间聚类分析的南海主要航线提取方法

基金项目: 

国家863计划项目 2012AA12A406

国家自然科学基金项目 41501436

详细信息
    作者简介:

    王加胜(1984-), 男, 云南富源人, 云南师范大学讲师, 工学博士, 从事海洋GIS研究

  • 中图分类号: U697.3

Extraction method of main routes in South China Sea based on spatial cluster analysis

More Information
    Author Bio:

    WANG Jia-sheng(1984-), male, lecturer, PhD, +86-871-65941311, wjerson@foxmail.com

  • 摘要: 提出了一种基于空间聚类分析的南海主要航线提取方法, 利用2001~2014年VOSClim舰船数据, 通过航线生成、航线聚类、聚类中心线提取得到了南海主要航线提取与分级结果, 将提取结果与美国中央情报局所得航线进行对比, 对南海主要航线分布特征进行分析。分析结果表明: 提取出21条南海主要航线, 一~三级航线分别有5、6、10条; 在21条南海主要航线中, 经过南沙群岛周边海域的航线多达14条; 在5条一级航线中, 分布在南海北部、西部和南部的航线分别有1、2、2条; 重要性指数由高到低的前5条航线依次为新加坡—香港、香港—台湾海峡、新加坡—巴拉巴克海峡、新加坡—巴士海峡、新加坡—高雄航线; 南海主要航线以西南—东北向为主, 新加坡、香港为南海最重要的2个交通枢纽。

     

  • 图  1  研究区地理位置

    Figure  1.  Geographical position of study area

    图  2  主要航线提取的技术路线

    Figure  2.  Technical route of main route extraction

    图  3  跨越陆地错误航线的校正

    Figure  3.  Correction of cross-land wrong route

    图  4  基于三角网的中心线提取

    Figure  4.  Centerline extraction based on triangle network

    图  5  不同簇间相似性阈值的聚类结果

    Figure  5.  Clustering results with different similarity thresholds between clusters

    图  6  南海主要航线提取结果

    Figure  6.  Extraction result of main routes in South China Sea

    图  7  提取结果与CIA航线的叠加

    Figure  7.  Superposition of extraction result and CIA routes

    表  1  各参数取值及说明

    Table  1.   Value and illustration of each parameter

    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-06-21
  • 刊出日期:  2016-12-25

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