Published July 27, 2022 | Version v1.0
Software Open

DigitalGeographyLab/borderspace-twitter-mobilities-luxembourg

Creators

  • 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)

Additional details

Related works

Is supplement to
https://github.com/DigitalGeographyLab/borderspace-twitter-mobilities-luxembourg/tree/v1.0 (URL)