mml_nbh_class_paper

This repository contains the code and data processing scripts necessary to reproduce the analysis in "The spatio-temporal evolution of social inequalities in cities: a multidimensional, multiscalar and longitudinal approach for neighbourhood classification" by Ignacio Urria, Ana Petrović, Maarten van Ham, and David Manley.

This repository provides the R scripts and functions used to create a cluster classification of multiscale bespoke neighbourhoods delineated around 100 by 100 metre grid cells in the Metropolitan Agglomeration of Amsterdam using a Non-Negative Matrix Factorisation (NMF).

The approach is multidimensional, multiscalar, and longitudinal, focusing on neighbourhood classification using various socioeconomic, demographic, and economic indicators measured across multiple spatial scales and time periods.

It is important to note that the authors do not have permission to share data. However, under certain conditions, these data are accessible for statistical and scientific research. For further information: microdata@cbs.nl.

Nevertheless, the code is shared to facilitate reproducibility and transparency, enabling other researchers to replicate, adapt, or extend the analysis with the same or different data sources.

Please refer to the README file for a more detailed description of the structure of the repository and the underlying data. Please refer to the original paper for a detailed description of the methodology and findings.