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This Special Issue aims to introduce the publication of computational notebooks in REGION.

We use mobile phone, census, and volunteered geographical data to measure geographic variations in the relationship between origin-destination flows and local urban accessibility in Barcelona

A reproducible notebook to acquire, process and analyse satellite imagery. Exploring long-term urban changes

This notebook offers a framework based on Python tools to demonstrate how to batch-download high-resolution satellite imagery; and enable the extraction, analysis and visualisation of features of the built environment to capture long-term urban changes.

Explaining the widening distribution of Body Mass Index A decomposition analysis of trends for England, 2002–2004 and 2012–2014

We examined how predictors of BMI varied at the 10th, 50th, and 90th percentiles using unconditional quantile regressions.

Mapping The Spatial Patterns of Internal Migration in Europe

We created a flow map of internal migration flows within 38 European countries using the most recent data available.

The occupational trajectories and outcomes of forced migrants in Sweden. Entrepreneurship, employment or persistent inactivity?

We examine the career pathways of forced migrants using sequence analysis from their arrival in 1991 through to 2013.

Fueling Research Transparency Computational Notebooks and the Discussion Section

This article introduces two new types of publication that further accommodate transparent research in Regional Science, The Discussion section, and Computational Notebooks.

Impact of internal migration on population redistribution in Europe Urbanisation, counterurbanisation or spatial equilibrium?

We advance beyond Ravenstein’s understanding by examining the direction of population redistribution and comparing the impact of internal migration on patterns of human settlement in 27 European countries.

Trends in multimorbidity, complex multimorbidity and multiple functional limitations in the ageing population of England, 2002–2015

This study aimed to estimate the prevalence of three measures of multimorbidity among people aged 50 years or older in England.

A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning

We develop a method based on computer vision and a hierarchical multilevel model to derive an Urban Street Tree Vegetation Index which aims to quantify the amount of vegetation visible from the point of view of a pedestrian.

Social determinants of multimorbidity and multiple functional limitations among the ageing population of England, 2002–2015

This study explores longitudinal relationships between material, psycho-social and behavioural social determinants of health and multimorbidity of people aged 50 years or older in England.