Published July 27, 2022
| Version v1.0
Software
Open
DigitalGeographyLab/borderspace-twitter-mobilities-luxembourg
- 1. Digital Geography Lab, University of Helsinki
Description
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".
Please cite this dataset as:
Järv et al. (2022). Revealing Mobilities of People to Understand Cross-Border Regions: Insights from Luxembourg Using Social Media Data. European Planning Studies
Organization of scripts:
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 |
Related scripts:
tweetsearcher created by Tuomas Väisänen et al.: https://zenodo.org/record/4767170
Residence detection methods by Vuokko Heikinheimo et al.: https://doi.org/10.6084/m9.figshare.12504773
Files
DigitalGeographyLab/borderspace-twitter-mobilities-luxembourg-v1.0.zip
Files
(16.9 kB)
Name | Size | Download all |
---|---|---|
md5:64bcd9c48b96984f2cd9470d06abf431
|
16.9 kB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/DigitalGeographyLab/borderspace-twitter-mobilities-luxembourg/tree/v1.0 (URL)