A Scalable Analytical Framework for Spatio-Temporal Analysis of Neighbourhood Change: A Sequence Analysis Approach
Early Career Researcher
Nikos Patias, Francisco Rowe and Stefano Cavazzi
This paper presents a scalable analytical framework for understanding spatio-temporal population change, using a sequence analysis approach. We use gridded cell Census data for Great Britain from 1971 to 2011, creating neighbourhood typologies for each Census year. These typologies are then used to analyse transitions of grid cells between different types of neighbourhoods and define representative trajectories of neighbourhood change. The results reveal eight prevalent trajectories of neighbourhood change across Great Britain, identifying neighbourhoods which have experienced stable, upward and downward pathways through the national socioeconomic hierarchy over the last four decades.