Mapping of Social Vulnerability to Natural Hazards in Geodemographic Analysis Using Fuzzy Geographically Weighted Clustering

This article presents a geodemographic analysis of social vulnerability to natural hazards in Indonesia using the Fuzzy Geographically Weighted Clustering (FGWC) method. By analyzing 19 variables across 514 districts, the study identifies four spatial vulnerability clusters, highlighting distinct socio-economic, demographic, and infrastructural patterns. The findings show how vulnerability varies across regions such as Nias, Mentawai, Nusa Tenggara, and Papua, and underscore the role of gender, age, poverty, housing, education, and disaster preparedness. This clustering model offers valuable insights for policymakers to develop targeted, region-specific disaster mitigation strategies.