海洋学研究 ›› 2020, Vol. 38 ›› Issue (2): 74-80.DOI: 10.3969/j.issn.1001-909X.2020.02.008

• 研究报道 • 上一篇    下一篇

粤港澳大湾区海岛空间分布特征探析

唐玲1, 杨木壮2, 王银霞3, 高杨3, 田松3, 董迪3   

  1. 1.广东省海洋发展规划研究中心,广东 广州 510220;
    2.广州大学 地理科学与遥感学院,广东 广州 510006;
    3.国家海洋局 南海规划与环境研究院,广东 广州 510300
  • 收稿日期:2019-02-18 出版日期:2020-06-15 发布日期:2020-12-24
  • 作者简介:唐玲(1989-),女,四川省内江市人,工程师,主要从事海岛、海域资源环境调查与测绘研究。E-mail:286744071@qq.com
  • 基金资助:
    2018年省级促进经济发展专项资金“海洋经济发展用途”项目资助(GDME-2018E002);广东省海洋与渔业厅海洋与渔业科技对外合作及生态环境保护研究项目资助(A201700005);国家自然科学基金重大科研仪器研制项目资助(61527810);国家海洋局南海分局海洋科学技术局长基金资助(1671);地理国情监测国家测绘地理信息局重点实验室项目资助(2017NGCM08)

Study on spatial distribution characteristics of islandsin Guangdong-Hong Kong-Macao Greater Bay Area

TANG Ling1, YANG Muzhuang2, WANG Yinxia3, GAO Yang3, TIAN Song3, DONG Di3   

  1. 1. Guangdong Center for Marine Development Research, Guangzhou 510220, China;
    2. School of Geography and Remote Sensing, Guangzhou Unversity, Guangzhou 510006, China;
    3. South China Sea Institute of Planning and Environment Research, SOA, Guangzhou 510300, China
  • Received:2019-02-18 Online:2020-06-15 Published:2020-12-24

摘要: 海岛是海洋资源开发利用价值的核心内容之一。为合理保护及开发利用粤港澳大湾区海岛资源,促进海岛产业布局优化,从海岛资源空间分布角度出发,探析海岛在粤港澳大湾区发展中重点平台的作用。以粤港澳大湾区纳入中国海域海岛标准名录的850个海岛为研究对象,在对其地理坐标、陆域面积等基础数据进行数理统计的基础上,通过ArcGIS软件平台,采用最邻近距离法、核密度估计法、洛伦兹曲线和基尼系数方法,对粤港澳大湾区海岛的空间分布特征进行了分析与研究。结果表明:粤港澳大湾区海岛在空间上趋于集聚分布,呈现总体带状分布,局部组团分布的特点,形成了湾区西部海岛分布带和大鹏湾-大亚湾区、九州列岛区、万山-佳蓬担杆列岛区、川山群岛区4个明显的集聚区;粤港澳大湾区海岛以沿岸岛为主,面积分布呈现不均衡性的特点,基尼系数达0.58。

关键词: 粤港澳大湾区, 海岛, 空间分布, 核密度估计法, 最邻近距离法, 基尼系数

Abstract: The island is one of the core contents of the value of marine resources development and utilization. In order to reasonably develop, utilize and protect island resources in Guangdong-Hong Kong-Macao Greater Bay Area and optimize the industry structures and arrangement on islands, from the perspective of the spatial distribution of island resources, the role of islands in the development of the key platforms in Guangdong-Hong Kong-Macao Greater Bay Area was explored. The spatial distribution characteristics of islands in Guangdong-Hong Kong-Macao Greater Bay Area were investigated by application of ArcGIS software platform, Nuclear Density Estimation Method, Lorenz Curve and Gini Coefficient calculation based on the statistical data of 850 islands coordinates and land areas, which have been listed in the China Seas Island Standards Directory. The results show that the distribution type of islands in Guangdong-Hong Kong-Macao Greater Bay Area tends to be concentrated and presents the overall band distribution, the characteristics of local group distribution in space. The islands in Guangdong-Hong Kong-Macao Greater Bay Area have shaped the western part of the bay area and 4 obvious gathering areas,Including Dapeng Bay-Daya Bay Area, Kyushu Islands Area, Wanshan-Jia Peng Islands Area, Chuanshan Islands Area. The islands in Guangdong-Hong Kong-Macao Greater Bay Area are mainly coastal islands and the area distribution of islands is characterized by an imbalance, with a Gini coefficient of 0.58.

Key words: Guangdong-Hong Kong-Macao Greater Bay Area, island, spatial distribution, Kernel Density Estimation, Average Nearest Neighbor, Gini Coefficient

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