DigitalGeographyLab/borderspace-twitter-mobilities-luxembourg
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