Mao Qiuju, Xie Liang, Fan Lai
School of Culture and Arts Media, Guizhou University of Commerce, Guiyang, China.
College of Design and Engineering, National University of Singapore, Singapore, Singapore.
PLoS One. 2025 May 30;20(5):e0324275. doi: 10.1371/journal.pone.0324275. eCollection 2025.
This study employs a range of analytical techniques, including the geographical detector, kernel density estimation, imbalance index, geographical concentration index, and nearest neighbor index, all integrated with ArcGIS 10.8, to examine and illustrate the spatial distribution of 757 traditional villages across Guizhou, revealing an aggregated spatial distribution pattern of traditional villages, i.e., "one highly concentrated area and two secondary density clusters." This pattern is influenced by both natural and socio-cultural factors, with socio-cultural elements such as road network density, GDP, and ethnic minority populations playing a more significant role than natural environmental factors. The results of geodetector analysis indicate that the interaction between these factors generally shows a nonlinear enhancement effect. Based on these findings, this study proposes four main strategies to preserve and enhance traditional villages: (1) establishing regional identities that reflect local ethnic characteristics; (2) improving village infrastructure to enhance accessibility; (3) implementing targeted protection and utilization strategies based on local conditions; and (4) industrial linkage, combining protection and development.
本研究采用了一系列分析技术，包括地理探测器、核密度估计、不平衡指数、地理集中指数和最近邻指数，并全部与ArcGIS 10.8集成，以考察和阐明贵州757个传统村落的空间分布，揭示了传统村落的聚集型空间分布模式，即“一个高度集中区和两个次密度聚集区”。这种模式受到自然和社会文化因素的影响，其中道路网络密度、国内生产总值和少数民族人口等社会文化因素比自然环境因素发挥着更重要的作用。地理探测器分析结果表明，这些因素之间的相互作用总体上呈现出非线性增强效应。基于这些发现，本研究提出了保护和提升传统村落的四项主要策略：（1）塑造反映当地民族特色的地域标识；（2）改善村落基础设施以提高可达性；（3）因地制宜实施针对性的保护和利用策略；（4）产业联动，将保护与发展相结合。
