Understanding Urban Form - Hierarchical Morphotope Classification based on Gradually Loosening Spatial Restrictions

The physical structure of cities is under-studied due to data, methodological and theoretical limitations. We propose the hierarchical morphotope classification (HiMoC) - a scalable, hierarchical method for classifying urban form based on the concept of morphotopes — morphologically homogeneous areas. Using a bottom-up approach, it combines morphometric analysis with a bespoke clustering method called Gradually Loosening Spatial Restrictions (GLSR) to delineate and classify urban patterns into a taxonomic tree. We apply the method to 90 million buildings across six countries, to create a detailed, hierarchical urban typology while maintaining adaptability for various use cases. The taxonomy extends traditional classifications, offering deeper insights into urban structures and fostering reproducibility through open data and code

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-02
DOI
https://doi.org/10.5281/zenodo.15124645
Primary Topic
Peptidase Inhibition and Analysis
Type
article
Field-Weighted Citation Impact
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article

Understanding Urban Form - Hierarchical Morphotope Classification based on Gradually Loosening Spatial Restrictions

Zenodo (CERN European Organization for Nuclear Research)
Peptidase Inhibition and Analysis
article

Understanding Urban Form - Hierarchical Morphotope Classification based on Gradually Loosening Spatial Restrictions

article en

Abstract

The physical structure of cities is under-studied due to data, methodological and theoretical limitations. We propose the hierarchical morphotope classification (HiMoC) - a scalable, hierarchical method for classifying urban form based on the concept of morphotopes — morphologically homogeneous areas. Using a bottom-up approach, it combines morphometric analysis with a bespoke clustering method called Gradually Loosening Spatial Restrictions (GLSR) to delineate and classify urban patterns into a taxonomic tree. We apply the method to 90 million buildings across six countries, to create a detailed, hierarchical urban typology while maintaining adaptability for various use cases. The taxonomy extends traditional classifications, offering deeper insights into urban structures and fostering reproducibility through open data and code

Zenodo (CERN European Organization for Nuclear Research)
Charles University (CZ)
Sustainable cities and communities
Openalex Percentile: Top 40%
Peptidase Inhibition and Analysis
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Understanding Urban Form - Hierarchical Morphotope Classification based on Gradually Loosening Spatial Restrictions · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS