01599nas a2200133   4500000000100000000000100001008004100002100001800043700001800061700001900079245009600098490000700194520126400201                                       d1 aFengling Wang1 aTongyan Zhang1 aShengrui Zhang00aMGWR reveals scale heterogeneity shaping intangible cultural heritage distribution in China0 v133 aSpatial 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.