DigitalGeographyLab/borderspace-twitter-mobilities-luxembourg
No Thumbnail Available
Restricted Availability
Date
2022-07-27, 2022-07-27
Persistent identifier of the Data Catalogue metadata
Creator/contributor
Editor
Journal title
Journal volume
Publisher
Publication Type
software
software
software
Peer Review Status
Repositories
Access rights
Open
ISBN
ISSN
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