Typological Mapping of Urban Landscape Spatial Characteristics from the Perspective of Morphometrics
Yiyang Fan,
Hao Zou,
Tianyi Zhao,
Boqing Fan and
Yuning Cheng ()
Additional contact information
Yiyang Fan: School of Architecture, Southeast University, Nanjing 210096, China
Hao Zou: College of Architecture, Nanjing Tech University, Nanjing 211816, China
Tianyi Zhao: School of Design, Art and Media, Nanjing University of Science & Technology, Nanjing 210094, China
Boqing Fan: School of Architecture, Southeast University, Nanjing 210096, China
Yuning Cheng: School of Architecture, Southeast University, Nanjing 210096, China
Land, 2025, vol. 14, issue 9, 1-26
Abstract:
The characterization and mapping of urban landscape spatial form are critical for advancing sustainable planning and informed environmental management. From a morphometric perspective, this study introduces a novel, data-driven framework for typo-morphological analysis. First, morphological cells (MCs) are defined as objectively and universally applicable spatial units for morphometric investigation. Second, by integrating a multi-dimensional cognition of full-scale morphological and associated landscape elements, we construct a set of 48 spatial form indicators and attach them to morphological cells, enabling a precise description of each unit. Third, a Gaussian mixture model (GMM) is employed to cluster the metrical information within the spatially lagged context derived from the topological structure of the morphological cells, resulting in the delineation of distinct typo-morphological zones (TMZs). We then adopt Ward’s algorithm to establish a hierarchical relationship among identified urban landscape types. Using Wuxi City, China, as a case study, our results demonstrate the effectiveness of the proposed framework in capturing the heterogeneity and underlying connotation of urban landscape spatial characteristics. Building upon the unsupervised clustering results, we further apply the classification and regression tree (CART) to provide a supervised interpretation of the key spatial form conditions driving typological decisions. It facilitates the systematic identification of the components and formative mechanisms of spatial form. The findings contribute a scalable, reproducible, and interpretable typo-morphometric approach for analyzing urban landscape spatial characteristics, thereby providing a robust quantitative foundation for integrated decision-making in landscape planning, socio-ecological assessment, and urban design practices. More broadly, the study carries both applied and theoretical significance for advancing refined urban governance and fostering interdisciplinary research related to urban sustainable development.
Keywords: morphological cells; spatial form indicators; topology; typo-morphological zones; typological decisions (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2073-445X/14/9/1854/pdf (application/pdf)
https://www.mdpi.com/2073-445X/14/9/1854/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:14:y:2025:i:9:p:1854-:d:1747180
Access Statistics for this article
Land is currently edited by Ms. Carol Ma
More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().