DigitalGeographyLab/borderspace-twitter-mobilities-luxembourg

dc.contributor.affiliationDigital Geography Lab, University of Helsinki - Håvard Wallin Aagesen
dc.contributor.affiliationDigital Geography Lab, University of Helsinki - Olle Järv
dc.contributor.affiliationDigital Geography Lab, University of Helsinki - Tuomas Väisänen
dc.contributor.authorHåvard Wallin Aagesen
dc.contributor.authorOlle Järv
dc.contributor.authorTuomas Väisänen
dc.date.accessioned2025-03-24T15:14:50Z
dc.date.issued2022-07-27
dc.date.issued2022-07-27
dc.descriptionThese 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
dc.identifierhttps://doi.org/10.5281/zenodo.6912827
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9385
dc.rightsOpen
dc.rights.licenseother-open
dc.titleDigitalGeographyLab/borderspace-twitter-mobilities-luxembourg
dc.typesoftware
dc.typesoftware
Zenodo


: