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

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.

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Publication Details

Journal
Scientific Reports
Published
2026-07-28
DOI
https://doi.org/10.1038/s41598-026-64227-y
Primary Topic
Land Use and Ecosystem Services
Type
article
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article

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

Zongming Liu, Siming Pei
Scientific Reports
Land Use and Ecosystem Services
article

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

Zongming Liu, Siming Pei
article en

Abstract

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.

Scientific Reports
Shaanxi University of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 11%
Land Use and Ecosystem Services
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