This book presents cutting‐edge research on urban and regional systems applying modern spatial analytical techniques of Geographic Information Science & Technologies (GIS&T), spatial statistics, and location modeling. The contributions, written by leading scholars from around the globe, adopt...

Credit default is a dramatic consequence of disadvantageous private financial decisions. Using regression methods which eliminate spatial autocorrelation at the level of 1 km² grids and further identification problems, we observe considerable and reinforcing residential segregation between...

This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to...