Urban neighbourhood classification and multi-scale heterogeneity analysis of Greater London
Urban neighbourhood classification and multi-scale heterogeneity analysis of Greater London
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DOI：
10.1177/23998083221140890
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发表时间：
2022-11
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通讯作者：
Tengfei Yu;Birgit S. Sützl;M. van Reeuwijk
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作者：
Tengfei Yu;Birgit S. Sützl;M. van Reeuwijk
我们使用地理信息系统 (GIS) 数据研究大伦敦城市和社区规模的组成和配置异质性。计算的城市形态指标包括土地覆盖的规划面积指数和分形维数、建筑物的锋面面积指数、均匀度和传染性。为了区分城市尺度的异质性和街区尺度的异质性，将720 km2的研究区域划分为1×1 km2的街区。城市尺度的异质性通过使用基于形态指标的 k 均值聚类算法对邻域进行分类来表示。这导致了从“绿地”到“中央商务区”的六种社区类型。使用每种邻域类型的分层多尺度分析来量化邻域尺度异质性。分析揭示了土地覆盖和邻里类型的主要长度尺度以及信息增益最多的分辨率。我们分析了多尺度各向异性，并表明小尺度特征是均匀的，并且各向异性存在于较大的长度尺度上。
We study the compositional and configurational heterogeneity of Greater London at the city- and neighbourhood-scale using Geographic Information System (GIS) data. Urban morphometric indicators are calculated including plan-area indices and fractal dimensions of land cover, frontal area index of buildings, evenness, and contagion. To distinguish between city-scale heterogeneity and neighbourhood-scale heterogeneity, the study area of 720 km2 is divided into 1 × 1 km2 neighbourhoods. City-scale heterogeneity is represented by categorisation of the neighbourhoods using a k-means clustering algorithm based on the morphometric indicators. This results in six neighbourhood types ranging from “greenspace” to “central business district”. Neighbourhood-scale heterogeneity is quantified using a hierarchical multi-scale analysis for each neighbourhood type. The analysis reveals the dominant length scales for land-cover and neighbourhood types and the resolutions with the most information gain. We analyse multi-scale anisotropy and show that small-scale features are homogeneous, and that anisotropy is present at larger length scales.