Evidence map›Paper›PMID 42711359›Full record

ArticleScientific reports2026

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

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Zongming LiuSchool of Design and Art, Shaanxi University of Science and Technology, Xi'an, 710021, China.
Siming PeiSchool of Design and Art, Shaanxi University of Science and Technology, Xi'an, 710021, China. 241011031@sust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

GeodetectorHuman–land relationshipSpatial distributionSpatial heterogeneityTraditional villagesYellow River Basin

Identifiers

PMID42711359
PMCPMC13554155

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