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<p>Traditional architectural morphology often overlooks the complex spatial synergies driving evolution. This study proposed a transferable framework integrating systematic architectural plan feature encoding, micro-scale morphological interpretation, and synergistic combination prototype mapping via the CatBoost-SHAP algorithm. Applied to 103 prehistoric dwellings (5000–2000 BC) from the Loess Plateau, China, the analysis identified specific synergy—notably the combination of doorway form and doorway orientation—as the primary catalyst for the model to predict elongation. By translating high-dimensional feature interactions into visualized spatial prototypes, this research offers a robust and replicable pathway for decoding the latent spatial logic of built heritage.</p>

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CatBoost-SHAP analysis decodes spatial synergies driving prehistoric architectural elongation on the Loess Plateau

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月16日

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  • Kecheng Du,
  • Jing Chen,
  • Yueyan Li,
  • Jialiang Ye

摘要

Traditional architectural morphology often overlooks the complex spatial synergies driving evolution. This study proposed a transferable framework integrating systematic architectural plan feature encoding, micro-scale morphological interpretation, and synergistic combination prototype mapping via the CatBoost-SHAP algorithm. Applied to 103 prehistoric dwellings (5000–2000 BC) from the Loess Plateau, China, the analysis identified specific synergy—notably the combination of doorway form and doorway orientation—as the primary catalyst for the model to predict elongation. By translating high-dimensional feature interactions into visualized spatial prototypes, this research offers a robust and replicable pathway for decoding the latent spatial logic of built heritage.