Geographic Data Science Lab, Department of Geography and Planning, University of Liverpool, Roxby Building, 74 Bedford St S, Liverpool, L69 7ZT, UK.
The Alan Turing Institute, British Library, 96 Euston Road, London, England, NW1 2DB, UK.
Sci Data. 2022 Sep 7;9(1):546. doi: 10.1038/s41597-022-01640-8.
The spatial arrangement of the building blocks that make up cities matters to understand the rules directing their dynamics. Our study outlines the development of the national open-source classification of space according to its form and function into a single typology. We create a bespoke granular spatial unit, the enclosed tessellation, and measure characters capturing its form and function within a relevant spatial context. Using K-Means clustering of individual enclosed tessellation cells, we generate a classification of space for the whole of Great Britain. Contiguous enclosed tessellation cells belonging to the same class are merged forming spatial signature geometries and their typology. We identify 16 distinct types of spatial signatures stretching from wild countryside, through various kinds of suburbia to types denoting urban centres according to their regional importance. The open data product presented here has the potential to serve as boundary delineation for other researchers interested in urban environments and policymakers looking for a unique perspective on cities and their structure.
城市构成模块的空间布局对于理解指导其动态的规则很重要。我们的研究根据形式和功能将国家开源空间分类法概述为单一类型学。我们创建了一个定制的细粒度空间单元，即封闭镶嵌，并在相关空间背景下测量捕获其形式和功能的特征。使用封闭镶嵌单元的 K-Means 聚类，我们为整个英国生成了一个空间分类。属于同一类的连续封闭镶嵌单元被合并形成空间特征几何形状及其类型。我们确定了 16 种不同类型的空间特征，从野外延伸到各种郊区，再到根据区域重要性表示城市中心的类型。这里提供的开放数据产品有可能成为其他对城市环境感兴趣的研究人员和寻求城市及其结构独特视角的政策制定者的边界划定。
