Spatially-constrained clustering of geospatial features for heat vulnerability assessment of favelas in Rio de Janeiro

ArXi:2604.26133v1 Announce Type: new Informal settlements face disproportionate exposure to climate-related health hazards. However, existing methodologies lack systematic approaches to link diverse settlement characteristics with environmental health outcomes. We develop a data-driven framework to assess heat vulnerability in Rio de Janeiro's favelas by combining spatially-constrained clustering with land surface temperature (LST) analysis.