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Quantification des relations spatiales entre données environnementales, socioéconomiques et sanitaires à différents niveaux géographiques

Abstract : Spatial health inequalities have often been analyzed in terms of socioeconomic and environmental factors. The present study aimed to evaluate spatial relationships between spatial data collected at different spatial scales. The approach was illustrated using health outcomes (mortality attributable to cancer) initially aggregated to the county level, district socioeconomic covariates, and exposure data modeled on a regular grid. Geographically weighted regression (GWR) was used to quantify spatial relationships. This approach requires continuous exploratory analysis to assess the role of the modifiable areal unit problem (MAUP) and downscaling the health data on the study of the relationship, which will allow decision-makers to develop interventions where they are most needed.
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https://hal-ineris.archives-ouvertes.fr/ineris-01869509
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  • HAL Id : ineris-01869509, version 1

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Mahdi-Salim Saib, Julien Caudeville. Quantification des relations spatiales entre données environnementales, socioéconomiques et sanitaires à différents niveaux géographiques. Rapport Scientifique INERIS, 2014, 2013-2014, pp.54-55. ⟨ineris-01869509⟩

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