TY - JOUR
AU - Fengling Wang
AU - Tongyan Zhang
AU - Shengrui Zhang
AB - Spatial distribution of Intangible Cultural Heritage exhibits significant complexity shaped by diverse geographical and socio-cultural contexts, yet conventional analyses often overlook its intricate heterogeneity and scale effects. Using Geographically Weighted Regression (MGWR) on 3610 Chinese national ICH items, we simultaneously address spatial non-stationarity and scale effects. Results show: (1) Significant spatial clustering (Moran s I = 0.337, p \textless 0.01) exists in ICH distribution, confirming an “east-dense, west-sparse” pattern. (2) Pronounced spatial heterogeneity exists; temperature and per capita GDP exhibit opposing effects in different regions, challenging simplistic assumptions. (3) Drivers operate at distinct scales: NDVI functions broadly (bandwidth\textgreater360), while topography and economic indicators operate locally (bandwidth\textless100). These findings reveal complex multi-scalar dynamics, resolving the methodological challenge of concurrently capturing spatial heterogeneity and factor-specific scale effects. Theoretically, it reveals fundamental ICH distribution patterns and mechanisms in China; Practically, it provides a basis for spatially differentiated conservation strategies in China and globally.
DO - 10.1038/s40494-025-01938-x
M1 - 1
N2 - Spatial distribution of Intangible Cultural Heritage exhibits significant complexity shaped by diverse geographical and socio-cultural contexts, yet conventional analyses often overlook its intricate heterogeneity and scale effects. Using Geographically Weighted Regression (MGWR) on 3610 Chinese national ICH items, we simultaneously address spatial non-stationarity and scale effects. Results show: (1) Significant spatial clustering (Moran s I = 0.337, p \textless 0.01) exists in ICH distribution, confirming an “east-dense, west-sparse” pattern. (2) Pronounced spatial heterogeneity exists; temperature and per capita GDP exhibit opposing effects in different regions, challenging simplistic assumptions. (3) Drivers operate at distinct scales: NDVI functions broadly (bandwidth\textgreater360), while topography and economic indicators operate locally (bandwidth\textless100). These findings reveal complex multi-scalar dynamics, resolving the methodological challenge of concurrently capturing spatial heterogeneity and factor-specific scale effects. Theoretically, it reveals fundamental ICH distribution patterns and mechanisms in China; Practically, it provides a basis for spatially differentiated conservation strategies in China and globally.
TI - MGWR reveals scale heterogeneity shaping intangible cultural heritage distribution in China
VL - 13
ER -