Socioeconomic characteristics, health behaviours, and the utilisation and quality of healthcare are prime examples of socioeconomic, cultural and demographic phenomena that are inherently spatial in nature. Understanding the spatial structure of these factors is particularly relevant in order to...

The spatial interactions between the areas express the existence of a spatial dependence also called autocorrelation. The modelization of these interactions requires the use of spatial weights matrix. In the literature, the matrix of adjacency and k-nearest neighbors are most usually used. We...

One problem with describing election vote shares using ordinary least squares (OLS) is that it ignores the possible presence of spatial error correlation, whereby the errors are correlated in a systematic manner over space. This omission can bias OLS standard errors. We examine the 2004...