These scripts are used in the analysis for the article in European Planning Studies: "Revealing Mobilities of People to Understand Cross-Border Regions: Insights from Luxembourg Using Social Media 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.
| Number | File | Description |
|---|---|---|
| 1 | centroid.py | Calculates centroid of list of coordinates |
| 2 | info_extract.py | Extract information from Twitter data |
| 3 | update_lux.py | Update SQL table with information |
| 4 | assign_country.py | Assign country code based on coordinates |
| 5 | residence_country.py | Residence detection |
| 6 | unique_users.py | Extract list of unique users in dataset |
| 7 | stats.py | Calculates descriptive statistics |
If you use the materials here please use the following reference:
Järv et al. (2022). Revealing Mobilities of People to Understand Cross-Border Regions: Insights from Luxembourg Using Social Media Data. European Planning Studies https://doi.org/10.1080/09654313.2022.2108312
This work was supported by the Kone Foundation under Grant 201608739; and Academy of Finland under Grant 331549.