Segmenting the spatial distribution of the adjusted dissimilarity index to detect residential segregation of foreigners in Campania

Residential segregation of the foreign population can depend by several socioeconomic and demographic factors related to both resident population and territorial context. By choosing the adjusted dissimilarity index to assess eveness of the spatial distribution of foreign residents with respect to the Italian population, we propose to resort to conditional inference trees to identify the contextual variables, measured at two spatial domains, that are mostly associated with the chosen measure of residential segregation in Campania, Italy. The analysis distinguishes between European and not European foreigners, to highlight differences in their settlement models.