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<p>Traditional villages record long-term interactions between settlement activities and environmental conditions. The Yellow River Basin-related regions provide a useful setting for examining these interactions because they include marked geomorphological gradients, river constraints, long settlement histories, and dense cultural heritage resources. Using 2,022 traditional village points from nine provincial-level regions, this study combined the Nearest Neighbor Index, DBSCAN, Kernel Density Estimation, cultural-type stratification, and Geodetector to examine spatial clustering and associated human–land factors. The villages showed a statistically significant clustered distribution, with a nearest neighbor ratio of 0.299161, a z-score of -61.162528, and <i>p</i> &lt; 0.001 (reported as 0 by ArcGIS). DBSCAN identified seven regional-scale clusters and 166 noise points under MinPts = 24 and Eps = 100&#xa0;km; relatively high-density areas were concentrated in the middle and lower Yellow River-related regions. Geodetector results showed that national key cultural relic protection units had the largest q-value among the selected variables (<i>q = 0.1755</i>), followed by slope (<i>q = 0.0536</i>), intangible cultural heritage items (<i>q = 0.0320</i>), transportation network density (<i>q = 0.0238</i>), and river network density (<i>q = 0.0229</i>). These findings provide spatial references for conservation prioritization and differentiated heritage governance. The statistical associations should not be interpreted as evidence of historical causality, settlement typology, or tourism-development effects.</p>

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Investigating spatial distribution characteristics and influencing factors of traditional villages in the Yellow River Basin from the perspective of human–land relationship

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月28日

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  • Zongming Liu,
  • Siming Pei

摘要

Traditional villages record long-term interactions between settlement activities and environmental conditions. The Yellow River Basin-related regions provide a useful setting for examining these interactions because they include marked geomorphological gradients, river constraints, long settlement histories, and dense cultural heritage resources. Using 2,022 traditional village points from nine provincial-level regions, this study combined the Nearest Neighbor Index, DBSCAN, Kernel Density Estimation, cultural-type stratification, and Geodetector to examine spatial clustering and associated human–land factors. The villages showed a statistically significant clustered distribution, with a nearest neighbor ratio of 0.299161, a z-score of -61.162528, and p < 0.001 (reported as 0 by ArcGIS). DBSCAN identified seven regional-scale clusters and 166 noise points under MinPts = 24 and Eps = 100 km; relatively high-density areas were concentrated in the middle and lower Yellow River-related regions. Geodetector results showed that national key cultural relic protection units had the largest q-value among the selected variables (q = 0.1755), followed by slope (q = 0.0536), intangible cultural heritage items (q = 0.0320), transportation network density (q = 0.0238), and river network density (q = 0.0229). These findings provide spatial references for conservation prioritization and differentiated heritage governance. The statistical associations should not be interpreted as evidence of historical causality, settlement typology, or tourism-development effects.