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生态学杂志 ›› 2005, Vol. ›› Issue (6): 627-630.

• 研究报告 • 上一篇    下一篇

城市景观空间自相关与自相似的尺度特征研究

谈文琦1, 徐建华1, 岳文泽2, 梅安新1, 赵晶1, 苏方林1   

  1. 1. 华东师范大学地理系地理信息科学教育部重点实验室, 上海, 200062;
    2. 浙江大学东南土地管理学院, 杭州, 310029
  • 收稿日期:2004-03-04 修回日期:2004-06-28 出版日期:2005-06-10
  • 通讯作者: 徐建华
  • 基金资助:
    国家自然科学基金资助项目(40371092).

Scales of spatial autocorrelation and self-similarity of urban landscape pattern

TAN Wenqi1, XU Jianhua1, YUE Wenze2, MEI Anxin1, ZHAO Jing1, SU Fanglin1   

  1. 1. Key Laboratory of Geographic Information Science of Education Ministry, Department of Geography, East China Normal University, Shanghai 200062, China;
    2. College of Southeast Land Management, Zhejiang University, Hangzhou 310029, China
  • Received:2004-03-04 Revised:2004-06-28 Online:2005-06-10

摘要: 在RS与GIS技术支持下,以上海市外环以内城市中心区为区域背景,研究城市景观格局空间自相关与分形结构在不同粒度下的变化特征,揭示其对粒度的响应特征和敏感程度.结果表明,城市景观格局的空间自相关性和自相似性依赖于粒度的选择,Moran I与各种景观类型的分维数均存在尺度效应;城市景观格局空间自相关性与自相似性在一定尺度范围内具有尺度依赖性,但二者对尺度的依赖程度不同.空间自相关性具有较高的尺度依赖性;而不同景观类型的自相似性随尺度的变化没有统一规律;城市景观格局的空间自相关性和自相似性对尺度变化的敏感点不同.居住景观的Moran I对尺度变化的敏感点为50 m,其他景观类型无明显的敏感点;分维数对尺度的敏感点因景观类型不同而异.

Abstract: Choosing the center area of Shanghai as regional background,this paper analyzed the urban landscape pattern characters with different grains by the technology of RS and GIS.The results showed that landscape indices of Moran I and fractal dimension were all related to the grains.The spatial autocorrelation and self-similarity of urban landscape pattern depended on different scales within certain range of scale,with the depending degree differed greatly.The spatial autocorrelation highly depended on the scaling,while the spatial self-similarity did not follow the scaling regularly.The spatial autocorrelation and self-similarity of urban landscape pattern had different sensitive points to the scaling.For the landscape of residence,Moran I,which characterized the spatial autocorrelation of the urban landscape structure,had the sensitive point to the scaling at the level of 50 m.However,sensitive points to fractal dimension differed greatly among different types of landscape patches.

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