This repo contains code used in the article "The effect of COVID-19 on cross-border mobilities of people and functional border regions: the Nordic case study from Twitter data".
The work is conducted within the Digital Geography Lab at the University of Helsinki and as a part of the BORDERSPACE -- Tracing Interactions and Mobilities Beyond State Borders: Towards New Transnational Spaces project.
Collection of data is based upon the tool tweetsearcher created by Tuomas Väisänen et al.: https://github.com/DigitalGeographyLab/tweetsearcher Digital Geography Lab.
| File | Description |
|---|---|
| difference_calculations.py | Calculates difference in spatial extent of functional cross-border regions |
| functional_area_maps.py | Calculates and plots functional cross-border region maps |
| line_charts.py | Plots line charts of temporal mobility patterns |
| median_distances.py | Calculates distance statistics on a country level |
| regional_distances.py | Calculates distance statistics on a regional level |
| significance_tests.py | Significance tests |
| stringency_chart.py | Plots a chart of stringency of COVID-19 measures |
If you use the materials here please use the following reference:
Aagesen, H. W., Järv, O., Gerber, P. (2022). The effect of COVID-19 on cross-border mobilities of people and functional border regions: the Nordic case study from Twitter data. Geografiska Annaler: Series B, Human Geography https://doi.org/10.1080/04353684.2022.2101135