From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account DOI Creative Commons
Tao Shen,

Fulu Kong,

Shuai Yuan

и другие.

Buildings, Год журнала: 2025, Номер 15(7), С. 1182 - 1182

Опубликована: Апрель 3, 2025

The vertical heterogeneous structures formed during the evolution of urban agglomerations, driven by globalization, pose challenges to traditional two-dimensional spatial analysis methods. This study addresses heterogeneity and multiscale problem in three-dimensional space proposes an adaptive framework that takes into account building height for clustering areas. Firstly, we established a macro-, meso- micro-level system characteristics structures. Subsequently, developed parameter-adaptive model through dynamic coupling mechanism thresholds average elevations. Finally, proposed density-based method integrates with parameter adaptation distinguish features at different scales, thereby achieving regional delineation. experimental results demonstrate outperforms hierarchical algorithms terms both Silhouette Coefficient Davies–Bouldin Index, effectively resolving density variation clustering.

Язык: Английский

From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account DOI Creative Commons
Tao Shen,

Fulu Kong,

Shuai Yuan

и другие.

Buildings, Год журнала: 2025, Номер 15(7), С. 1182 - 1182

Опубликована: Апрель 3, 2025

The vertical heterogeneous structures formed during the evolution of urban agglomerations, driven by globalization, pose challenges to traditional two-dimensional spatial analysis methods. This study addresses heterogeneity and multiscale problem in three-dimensional space proposes an adaptive framework that takes into account building height for clustering areas. Firstly, we established a macro-, meso- micro-level system characteristics structures. Subsequently, developed parameter-adaptive model through dynamic coupling mechanism thresholds average elevations. Finally, proposed density-based method integrates with parameter adaptation distinguish features at different scales, thereby achieving regional delineation. experimental results demonstrate outperforms hierarchical algorithms terms both Silhouette Coefficient Davies–Bouldin Index, effectively resolving density variation clustering.

Язык: Английский

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