| 基于夜光遥感与POI数据空间耦合关系的南海港口城市空间结构研究 |
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| 引用本文： | 于丙辰,刘玉轩,陈刚.基于夜光遥感与POI数据空间耦合关系的南海港口城市空间结构研究[J].地球信息科学,2018,20(6):854-861. |
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| 作者姓名： | 于丙辰 刘玉轩 陈刚 |
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| 作者单位： | 1. 南京大学地理与海洋科学学院,南京 2100232. 中国南海研究协同创新中心,南京 210023 |
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| 基金项目： | 国家社科基金重大项目(14ZDA078);江苏省高校哲学社会科学研究重大项目(2013ZDAXM008) |
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| 摘 要： | 南海港口城市研究是南海资源环境监测的重要内容,目前对于南海港口城市空间结构特别是港口在城市空间结构中的地位缺乏研究。夜光遥感数据和POI数据均为城市空间结构研究的重要数据源,但对于2种数据的空间耦合关系与集成应用研究存在不足。针对上述问题,本文选取南海港口城市典型代表的三亚市为研究区,以研究区2016年NPP-VIIRS夜光遥感数据和POI数据为数据源,利用叠加分析将夜光遥感数据和POI核密度分析结果数据分别网格化。然后,利用双因素组合制图法对两种数据的空间耦合关系进行可视化,分析空间耦合关系相异区域和城市空间结构的关系,并在此基础上探讨港口在三亚城市结构中的地位。研究表明,三亚市夜光遥感和POI数据的空间分布总体趋势相一致,空间耦合关系相近的区域占比达85.6%;夜光遥感和POI数据空间耦合关系在三亚市内存在一定量的相异区域,如新城区、经济开发区、城市边缘区和乡镇中心等,结合2种数据的特点可以更显著地表征这些区域的城市空间结构特征;三亚市作为重要的南海港口城市,其城市的中心区域与港口密切关联。本研究为港口城市空间结构研究提供了新视角。
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| 关 键 词： | 夜光遥感 POI 空间耦合关系 三亚市 南海港口城市 城市空间结构 |
| 收稿时间： | 2018-01-02 |
Urban Spatial Structure of Port City in South China Sea Based on Spatial Coupling between Nighttime Light Data and POI |
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| YU Bingchen,LIU Yuxuan,CHEN Gang.Urban Spatial Structure of Port City in South China Sea Based on Spatial Coupling between Nighttime Light Data and POI[J].Geo-information Science,2018,20(6):854-861. |
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| Authors: | YU Bingchen LIU Yuxuan CHEN Gang |
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| Institution: | 1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China2. Collaborative Innovation Center of South China Sea Studies, Nanjing 210023, China |
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| Abstract: | Port city in South China Sea, the important transportation hub in South China Sea and the 21st Century Maritime Silk Road, is significant for research on resource and environment monitoring of South China Sea. However, there is a lack of research about urban spatial structure of port city in South China Sea, especially the role of the port in urban spatial structure. Both of nighttime light data and POI (Point of Interest) data are widely used in research on urban spatial structure as data source, but few research focus on the spatial coupling between nighttime light data and POI data, and the integrated application of two data sources. As an example on the spatial coupling between nighttime light data and POI data, we take Sanya City, a typical representative port city in South China Sea, as study area, and use NPP-VIIRS nighttime light data and POI data of study area in 2016 as data source. In addition, we use overlay analysis to transform both data, the nighttime light data and the processed POI data by kernel density method, into regular grids. Then we use the method for mapping double factors to discuss the spatial coupling relationship between both data, and analyze the relationship between areas with different spatial couplings and urban spatial structures, especially the ports. The results show that: (1) The nighttime light data and POI data have strong spatial coupling relationship, which indicates a significant consistency. The global trend of spatial distribution between both data in Sanya City is pretty similar, and 85.6% of total area have same spatial coupling. (2) The regions where spatial coupling between nighttime light data and POI data differs have some significant spatial characteristics of urban structures, such as the large-scale homogeneous regions, rural-urban fringe, suburbs, and township. POI data has few distributions in economic development zone, new urban districts and so on, but much distribution in suburbs, townships and so on. By contrast, nighttime light data can characterize urban construction significantly, but can't characterize the township. (3) Sanya City, as an important port city in South China Sea, shows a strong relationship between its urban centers and ports. All of three urban centers revolve around three main ports and spread from it in a ring or line form. This study provides a new perspective of the research ont urban spatial structure of port cities in South China Sea. |
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| Keywords: | nighttime light data POI spatial coupling Sanya City port city in South China Sea urban spatial structure |
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