A partition-free spatial clustering that preserves topology: application to built-up density

Montero, Gaëtan; Caruso, Geoffrey; Hilal, Mohamed; Thomas, Isabelle

doi:10.1007/s10109-022-00396-4

Cited by 2 publications

(1 citation statement)

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“…However, a few papers have used it to characterise spatial clusters of urban form (Alardi and Fusco, 2019; Caruso et al, 2017). Moreover, it is not computed for a particular characteristic of a geographical entity (building); rather, the edge between two entities (the edge length linking the centroids of buildings) is considered an observation (Araldi and Fusco, 2019; Caruso et al, 2017; Montero et al, 2023; Yamada and Thill, 2010). In this investigation, the difference between the heights of buildings adjacent to one another, dhij=dhk, was considered the variable of interest.…”

Section: Methodsmentioning

confidence: 99%

Relative spatial variability in building heights and its spatial association: Application for the spatial clustering of harmonious and inharmonious building heights in Tokyo

Usui

2023

Environment and Planning B: Urban Analytics and City Science

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Whether or not a streetscape skeleton – the 3D spaces of streets defined by the arrangement of surrounding buildings – is vertically harmonious depends to a large extent on the degree of difference between the heights of buildings adjacent to one another, known as the relative spatial variability in building heights. Surprisingly, this subject has been overlooked in previous studies examining the harmony of streetscapes. Data on precise building heights are indispensable for evaluating the relative spatial variability in building heights and its spatial association. The recent relaxation of data limitations on precise building heights in Tokyo enabled us to identify the relative spatial variability in building heights and quantify its spatial association. Therefore, in this paper we aim to answer the following question: where are harmonious or inharmonious building heights locally clustered? To this end, we computed the spatial association of the relative spatial variability in building heights as a set of edges whose indices enabled us to evaluate the local indicator of spatial association (LISA). Subsequently, we statistically demarcated locally harmonious and inharmonious building heights without having to set predetermined basic spatial units. In this respect, our methods and findings are novel and can contribute to establishing a new method for measuring the variability in vertical streetscape skeletons, which is important for developing urban design policies.

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