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Temporal variation of characteristic scales in urban landscapes: an insight into the evolving internal structures of China’s two largest cities

机译:城市景观特征尺度的时空变化:洞悉中国两个最大城市的内部结构

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摘要

Urbanization has induced profound landscape changes. While the spatiotemporal patterns of urban landscapes have been extensively studied, the manner by which the internal structures of already urbanized areas change remains little understood. Characteristic scales are an important measure of landscape structure, and they represent the typical spatial extents of landscape elements in hierarchies. In this study, we quantified temporal variations of the characteristic scales in the central urban landscapes of Beijing and Shanghai over an 18 year period. Using transect data from Landsat images, characteristic scales were identified through wavelet analysis and then classified into several discrete domains using the k-means clustering method. These characteristic scale domains appeared to correspond with the typical extents of the blocks and block clusters in the study areas. Results showed that the number of the characteristic scale domains changed within a small range of 3–5 while the mean values of the characteristic scales within the domains showed substantial temporal variation. Larger characteristic scales were more variable than smaller ones in both cities. Distinguishing relative change rates of building forms, land use and street layout of urban landscapes allowed us to interpret these differences. The street layout of urban landscapes usually reacts slowly to the force of change, acting as the skeleton of the urban landscape. As a result, block sizes can remain relatively stable and corresponding characteristic scales present inheritance features. Land use and building forms are more susceptible to changes. Block clusters with flexible extents could result in significant variation of characteristic scales.
机译:城市化已经引起了深刻的景观变化。尽管已经对城市景观的时空格局进行了广泛研究,但对已经城市化地区内部结构发生变化的方式仍然知之甚少。特征尺度是景观结构的重要度量,它们代表层次结构中景观元素的典型空间范围。在这项研究中,我们量化了北京和上海中心城市景观在18年期间的特征尺度的时间变化。利用Landsat影像的断面数据,通过小波分析确定特征尺度,然后使用k均值聚类方法将其划分为几个离散域。这些特征量表域似乎与研究区域中区块和区块群的典型范围相对应。结果表明,特征量表域的数量在3-5的小范围内变化,而域内特征量表的平均值显示出较大的时间变化。在两个城市中,较大的特征量级比较小的特征量级更具可变性。区分建筑形式,土地使用和城市景观街道布局的相对变化率可以使我们解释这些差异。城市景观的街道布局通常对变化的力量反应缓慢,是城市景观的骨架。结果,块大小可以保持相对稳定,并且相应的特征标度呈现继承特征。土地使用和建筑形式更容易发生变化。具有灵活范围的块簇可能导致特征尺度的显着变化。

著录项

  • 来源
    《Landscape Ecology》 |2012年第7期|p.1063-1074|共12页
  • 作者单位

    School of Life Sciences, Nanjing University, 22 Hankou Road, Nanjing, 210093, China;

    School of Life Sciences, Nanjing University, 22 Hankou Road, Nanjing, 210093, China;

    School of Life Sciences, Nanjing University, 22 Hankou Road, Nanjing, 210093, China;

    School of Life Sciences, Nanjing University, 22 Hankou Road, Nanjing, 210093, China;

    School of Life Sciences, Nanjing University, 22 Hankou Road, Nanjing, 210093, China;

    School of Life Sciences, Nanjing University, 22 Hankou Road, Nanjing, 210093, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Characteristic scale domain; Urban structure; Remote sensing; Urbanization; Wavelet analysis;

    机译:特征尺度域;城市结构;遥感;城市化;小波分析;

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