Code underlying the paper "The Spatio-Temporal Evolution of Social Inequalities in Cities: A Multidimensional, Multiscalar and Longitudinal Approach for Neighbourhood Classification"

DOI:10.4121/f0b25cba-abbb-42c6-823a-422aad8c0721.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/f0b25cba-abbb-42c6-823a-422aad8c0721

Datacite citation style

Urria Yáñez, Ignacio; Petrović, Ana (2025): Code underlying the paper "The Spatio-Temporal Evolution of Social Inequalities in Cities: A Multidimensional, Multiscalar and Longitudinal Approach for Neighbourhood Classification". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/f0b25cba-abbb-42c6-823a-422aad8c0721.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

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: [email protected].


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.

History

  • 2025-07-08 first online, published, posted

Publisher

4TU.ResearchData

Format

R

Organizations

TU Delft, Faculty of Architecture and the Built Environment, Department of Urbanism, Urban Studies

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/ce26a9cb-7238-4701-9cfb-d173d1c5dfc4.git "mml_nbh_class_paper"

Or download the latest commit as a ZIP.