Spatial Prioritization of Hydrogeomorphological Risk in Recife (PE): Integration of Terrain Slope and Population
Abstract
Abstract: The study aimed to classify and analyze the spatial distribution of hydrogeomorphological risk in the municipality of Recife (Pernambuco state), integrating slope and population density at the neighborhood level. The methodology adopted an exploratory quantitative approach using geoprocessing and spatial analysis. A Digital Elevation Model was used to derive slope, 2022 census data were used to calculate population density, and the neighborhood vector base was used as the unit of analysis. An exploratory hydrogeomorphological risk prioritization index was constructed through matrix cross-tabulation and subsequently submitted to Global and Local Moran's statistics (LISA). The results revealed significant positive spatial autocorrelation (I = 0.389; p < 0.001), indicating non-random clustering of risk. The LISA analysis identified hotspots concentrated in the central-western and northeastern zones, areas that combined steep terrain with high population density. Coldspots were associated with lowland sectors characterized by consolidated urbanization. The final considerations indicated that the exploratory index demonstrated potential for territorial prioritization, supporting urban planning and disaster prevention management, although it does not replace detailed hydrological or geotechnical analyses.
Keywords: spatial autocorrelation; slope; population density; Recife; hydrogeomorphological risk.