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作 者:梁娟珠[1] 徐泽潭 LIANG Juanzhu;XU Zetan(Digital China Research Institute(Fujian),Fuzhou University,Fuzhou 350108,China)
机构地区:[1]福州大学数字中国研究院(福建),福建福州350108
出 处:《华侨大学学报(自然科学版)》2022年第1期102-110,共9页Journal of Huaqiao University(Natural Science)
基 金:国家自然科学基金资助项目(41771423);福建省科技重点资助项目(2018Y0054)。
摘 要:以中国长江三角洲城市群为研究区,选取全球人造不透水面、可见光红外成像辐射仪(VIIRS)夜间灯光、道路、人口等多源数据,从土地利用、人类活动、道路设施3个视角出发构建分区指标,基于人工神经网络对长三角城市群地域空间进行划分,并探讨城市边缘区的时空分异与扩展特征.结果表明:使用多源数据与人工神经网络方法识别城市边缘区具有可行性,空间分区的3个指标较为合理;使用自组织特征映射模型将长三角城市群分为城市核心区、城市边缘区、乡村地区3类;2012-2018年间城市边缘区占长三角城市群总面积的比例由7.82%增长至11.27%,年均空间扩展强度指数为7.35%,城市边缘区面积扩展呈现集聚特征,热点区主要位于江苏省大部及浙江省北部,冷点区则分布于安徽省大部和浙江省南部.Takes Yangtze River Delta urban agglomerations in China as research area,multi-source datas such as global artificial impervious surface,visible infrared imaging radiometer(VIIRS)night light,road and population are selected to construct zoning indicators from three perspectives of land use,human activities,and road facilities.Division of the regional space of Yangtze River Delta urban agglomerations based on artificial neural network,and the spatial and temporal differentiation and expansion characteristics of rural-urban fringe area are discussed.The results show that it is feasible to use multi-source datas and artificial neural network methods to identify rural-urban fringe area,and three indicators of spatial division are reasonable;using self-organizing feature mapping model to divide Yangtze River Delta urban agglomerations into three categories of the core area,the rural-urban fringe area,rural area;from 2012 to 2018,the proportion of rural-urban fringe area in the total area of the Yangtze River Delta urban agglomerations increase from 7.82%to 11.27%,with an average annual expansion intensity index of 7.35%,and the rural-urban fringe area show agglomeration characteristics.Hot spots are mainly located in most parts of Jiangsu Province and northern Zhejiang Province,while cold spots are located in most parts of Anhui Province and southern Zhejiang Province.
关 键 词:空间分区 自组织特征映射模型 城市边缘区 扩展特征 长三角城市群
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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