Spatial regression is a statistical technique that takes into account the spatial location of data points and the spatial relationships among them. In the context of Epidemiology, it allows researchers to model and understand the geographical distribution of diseases and health outcomes. Unlike traditional regression models, spatial regression incorporates spatial dependence and spatial heterogeneity, which are critical for accurate analysis in epidemiological studies.
