推进乡土文化整体性认知是修复我国文化空间基因、实施乡村振兴的重要举措。鉴于此，选取表征乡土文化的名录数据作为研究对象，综合运用数理统计、空间分析、地理探测器（geographic detector，GD）、地理加权回归（geographic weighted regression，GWR）等方法，定量探究乡土文化空间分布格局及其影响因素。结果表明：①乡土文化全国尺度下呈现聚集分布格局，省际分布不均衡特征突出；②乡土文化空间分布上呈现以胡焕庸线为界的“核心－边缘”特征，核心区集聚于长江、黄河流域及东部沿海带；③乡土文化空间分异的经济、社会因素比自然因素解释更强，人的能动性是乡土文化发展的主导力量；④乡土文化空间分异是多种因子复杂耦合作用的结果，经济和社会因子之间交互作用最强；⑤5个最佳作用因子构建的GWR模型能解释乡土文化34.9%的空间分异特征，不同因子在空间上作用强度及方向差异显著。 Promoting the overall cognition of vernacular culture is an important measure to repair the genes of cultural space and implement rural revitalization in China. In view of this, taking the directory data representing vernacular culture as the research object, the methods such as mathematical statistics, spatial analysis, geographic detector (GD) and geographic weighted regression (GWR) were comprehensively used to quantitatively explore the spatial distribution pattern and influencing factors of vernacular culture.The results show that: ① vernacular culture presents a clustering distribution pattern at the national scale, and the interprovincial distribution is unbalanced; ② The spatial distribution of culture shows a " core-edge" characteristic bounded by Hu Huanyong Line, and the core area clusters in the Yangtze River and Yellow River basins and the eastern coastal area; ③ The economic and social factors explain much more than the natural factors for the spatial differentiation of vernacular culture, and people's subjective initiatives are the dominant force for the development of vernacular culture; ④ Complex coupling effect of various factors result in the spatial differentiation of vernacular culture, and the interaction between economic and social factors is the strongest; ⑤ The GWR model constructed by the five factors with the best effects could explain 34.9% of the spatial differentiation characteristics of vernacular, and the intensity and direction of different factors are significantly different in terms of spatial effects. 乡土文化 分布特征 影响因素 地理探测器 地理加权回归 vernacular culture distribution characteristics influencing factor geographic detector geographically weighted regression 参考文献 于法稳 . 习近平绿色发展新思想与农业的绿色转型发展 [J]. 中国农村观察 , 2016 ( 5 ): 2-9,94 . 习近平绿色发展新思想与农业的绿色转型发展 YU F W . 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