By Robert J. Franzese, Jr. and Jude C. Hays, 2008


Until recently, empirical analyses of spatial interdependence in the social sciences remained largely confined to specialized areas of applied economics (e.g., environmental, urban/regional, real-estate economics) and sociology (i.e., network analysis). However, social-scientific interest in and applications of spatial modeling have burgeoned lately, due partly to advances in theory that imply interdependence and in methodology for addressing it, partly to global substantive changes that have raised at least the perception of and attention to interconnectivity, and likely the actual degree and extent of it, at all levels, from micro/personal to macro/international, and partly to advances in technology for obtaining and working with spatial data. In political science, too, spatial empirical analyses have grown increasingly common: a very welcome development as many phenomena that political scientists study entail substantively important spatial interdependence.