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东莞市城镇扩张景观格局变化特征
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  • 英文篇名:Spatial Heterogeneity of Urban Expansion Structure Based on Spatial Clustering Method in Dongguan City
  • 作者:万义良 ; 金瑞 ; 唐建波 ; 金美含
  • 英文作者:WAN Yiliang;JIN Rui;TANG Jianbo;JIN Meihan;College of Resources and Environmental Sciences,Hunan Normal University;Hunan Key Laboratory of Geospatial Big Data Mining and Application,Hunan Normal University;School of Geosciences and Info-physics,Central South University;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University;School of Architecture,Harbin Institute of Technology(Shenzhen);
  • 关键词:城镇空间结构 ; 空间分异性 ; 景观格局指标 ; 景观扩张指数(LEI) ; AMOEBA算法 ; 东莞市
  • 英文关键词:urban spatial structure;;spatial heterogeneity;;landscape metrics;;landscape expansion index(LEI);;AMOEBA algorithm;;Dongguan City
  • 中文刊名:经济地理
  • 英文刊名:Economic Geography
  • 机构:湖南师范大学资源与环境科学学院;湖南师范大学地理空间大数据挖掘与应用湖南省重点实验室;中南大学地球科学与信息物理学院;武汉大学测绘遥感信息工程国家重点实验室;哈尔滨工业大学(深圳)建筑学院;
  • 出版日期:2019-03-26
  • 出版单位:经济地理
  • 年:2019
  • 期:03
  • 基金:国家自然科学基金项目(41701465);; 湖南省自然科学基金项目(2016JJ6100);; 湖南省国土厅国土资源科研项目(2017-16)
  • 语种:中文;
  • 页:86-94
  • 页数:9
  • CN:43-1126/K
  • ISSN:1000-8462
  • 分类号:F299.27
摘要
借助ENVI对东莞市1997—2013年的TM/ETM遥感影像进行解译,利用景观格局梯度变化分析以及景观扩张指标(LEI)与AMOEBA空间层次聚类算法相结合,从空间相对距离变化及扩张时序变化两个角度,对城镇斑块景观时空分异性、扩张变化程度、类型以及组团的空间分异性特征进行剖析,从动态及静态两个方面了解城镇扩张过程中空间结构的变化特征。结果表明:①1997—2013年,东莞的城镇扩张呈现出以边缘式扩张模式为主的状态;②从梯度分析结果来看,距离城镇中心10 km范围内已经形成较为成熟的城镇区域,10~40 km范围内的地区属于扩张活跃地带;③新增城镇用地受到城镇中心、周边城市以及主要交通线延伸的影响,形成具有时空分异特征组团。最后,为了城镇的可持续发展,依据城镇分析结果,结合东莞城镇发展情况,提出了相应的对策建议。
        Using ENVI to interpret the TM/ETM remote sensing image of Dongguan City from 1997 to 2013 and applying the landscape gradient analysis, the combination of the landscape expansion index(LEI) and the spatial hierarchical clustering algorithm of AMOEBA, this article detected spatiotemporal heterogeneity characteristics of clusters, the extent of urban expansion change and urban expansion type in the urban landscape and explored the variation characteristics of space structure in the process of urban sprawl. The results showed that the proposed method could identify and visualize different urban expansion clusters. During the period of 1997 to 2013, urban expansion in Dongguan showed a state of marginal expansion. Within a range of 10 km from the city center, a relatively mature urban area had been formed, and within a range of 10-40 km it was belonged to the active area of expansion. Affected by the relative distance from the city center and surrounding cities, and the extension of major traffic lines, the spatial configuration of newly added urban land formed several clusters with spatiotemporal heterogeneity characteristics. This study can be used to help relevant departments to guide targeted control measures for urbanization development.
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