The talk introduces an analytical framework for examining socio-spatial segregation across various spatial scales. This framework considers regional connectivity and population distribution, using an information theoretic approach to measure changes in socio-spatial segregation patterns across scales. It identifies scales where both high segregation and low connectivity occur, offering a topological and spatial perspective on segregation. Illustrated through a case study in Ecuador, the method is demonstrated to identify disconnected and segregated regions at different scales, providing valuable insights for planning and policy interventions.
Further Information
Elsa Arcaute is a Professor of Complexity Science at the Centre for Advanced Spatial Analysis (CASA), University College London. Her research focuses on modelling and analysing urban systems from the perspective of complexity sciences. Her main branches of research are urban scaling laws, hierarchies in urban systems, defining city boundaries, and the analysis of urban processes using percolation theory and network science.