Urban neighbourhood classification and multi-scale heterogeneity analysis of Greater London

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Abstract

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 (Formula presented.) 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.

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APA

Yu, T., Sützl, B. S., & van Reeuwijk, M. (2023). Urban neighbourhood classification and multi-scale heterogeneity analysis of Greater London. Environment and Planning B: Urban Analytics and City Science, 50(6), 1534–1558. https://doi.org/10.1177/23998083221140890

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