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

Tengfei Yu, Birgit S Sützl and Maarten van Reeuwijk

Environment and Planning B, 2023, vol. 50, issue 6, 1534-1558

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 km 2 is divided into 1 × 1 km 2 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.

Keywords: spatial heterogeneity; urban landscape; neighbourhood-scale; classification (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:50:y:2023:i:6:p:1534-1558

DOI: 10.1177/23998083221140890

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