Análisis exploratorio de datos espaciales en el estudio de la relación entre el mapa social y la salud en la ciudad de Luján, Argentina.

Abstract

Spatial distributions and associations studies, with-in geographical analysis, are presented as important methodological approaches in the field of Medical Geography applied to the urban population. Exploratory Spatial Data Analysis (ESDA) provides a number of techniques to model the spatial structure characteristics analyzed in individual variables and their correlations. Results were obtained through thematic mapping and interactive graphics in order to study the spatial distribution of disease diagnosis and its relationship with the social map of the city of Luján (Argentina). The discovery of an inverse spatial behavior between original data and index data led to focus the study on the diagnosis of mental illnesses.