Comparison of Spatial Weight Matrices in Spatial Autoregressive Model: Case Study of Intangible Cultural Heritage in Indonesia

Intangible Cultural Heritage (ICH) can effectively contribute to Sustainable Development Goals (SDGs) in all economic, social, and environmental dimensions, along with peace security. Studying ICH Indonesia cannot be separated from the spatial aspect of how an area's attributes are related other areas located close each other. Spatial regression modeling needs done by considering selection weight matrix. Using wrong matrix will increase standard error parameter estimation. Therefore, this study aims determine: best accommodate autocorrelation analyzing description spread Indonesia; variables that thought influence number determination Indonesia. The used is Autoregressive (SAR) model matrices compared queen contiguity inverse distance. SAR because it has minimum values AIC, BIC, RMSE MAPE which 310.397, 319.555, 18.857 57.169 respectively. Simultaneously, involved performing arts, wearing traditional dress, knowing Indonesian folklore lag significantly Partially, only have a significant effect on at significance level α=5%. Each additional 1% population area increases 0.6719 units .