Spatial Heterogeneity and Influence Factors of Traditional Villages in the Wuling Mountain Area, Hunan Province, China Based on Multiscale Geographically Weighted Regression

Traditional villages are the spatial carriers of excellent traditional culture Chinese nation, concentrated expression thousands years farming civilization, and a nonrenewable precious cultural heritage. However, in recent decades, with rapid development urbanization modernization, have rapidly declined or even disappeared. Therefore, exploring distribution characteristics influencing factors clarifying their formation laws, can provide new perspective for continuity protection on cross-regional scale. This study takes six batches 462 Wuling Mountains, Hunan, China as research object. On basis analysis overall different ethnic minority villages, this proposes idea simulating mechanism by using multiscale geographical weighted regression (MGWR) model. Results indicate that (1) minorities shows significant agglomeration (among them, Miao Tujia formed main sub cores space gathering Mountains Hunan); (2) compared least squares (OLS) method classic (GWR) model, MGWR model reflect impact scales factors, simulation effect is better. From influence natural affecting Mountain area generally positively correlated. Socioeconomic dual negative correlation. Cultural key to Spatial no villages. these conclusions, discusses relevant strategies