Spatial differentiation patterns of traditional villages in Taihang Mountain area and influencing mechanisms:A MGWR model based analysis
Taking 875 traditional villages in Taihang Mountain area as the research subjects,Kernel density estimation,clustering and outlier analysis were used to identify the spatial differentiation pattern of traditional villages.Out of the 18 influencing factors distributed across 4 categories,8 factors significantly influencing the spatial differentiation patterns were identified.Subsequently,the spatial heterogeneity and underlying mechanisms of these influencing factors were unveiled by employing Optimal Parameter-Based Geographical Detector and Multiscale Geographically Weighted Regression(MGWR).It is found that the MGWR model exhibits stronger explanatory power and robustness compared to the classical GWR model.The traditional villages in Taihang Mountain area possess an evolutionary system of human-environment relationship driven by the interactive and coordinated effects of multiple factors:natural ecology,spatial transportation,human history,and socio-economic aspects,while the spatial pattern shows the structural characteristics of"One Belt with Multiple Core in Peripheries".Factors such as cultural heritage sites concentration,cultural routes,intangible cultural heritage concentration,scenic area density,annual sunshine duration,average slope,urbanization rate and road density play a significant driving role in the spatial differentiation of traditional villages in Taihang Mountain area.