It was our honour and pleasure to attend the 8th Mobile Tartu conference organized by the Mobility Lab of the University of Tartu, Estonia. The event was once again scientifically fruitful and socially rewarding — exactly the way how the founder of the conference, the late professor Rein Ahas had envisioned it!
The members of the Digital Geography Lab were well represented in organising PhD workshops, presenting latest research from various projects, chairing sessions and moderating a panel discussion.
Olle Järv and Oleksandr Karasov organized a PhD workshop on “Social media sources as a tool to monitor cross-border mobility”, and Christoph Fink and Tuuli Toivonen together with our former group member Age Poom organized a PhD workshop on “Data and tools for environmental exposure assessment during urban mobility”.
Continue reading “Digital Geography Lab presented the latest research at Mobile Tartu 2022”
Authors: Bryan Vallejo, Olle Järv
We developed the OptiSS tool to optimize geodetic spatial joining for assigning geographical attributes to social media data in the BORDERSPACE project at the Digital Geography Lab. The tool has a user-friendly local app, yet its Python script can be easily used in any workflow.
Why we developed the tool?
In the BORDERSPACE project, we need to assign hierarchical spatial attributes (municipality, region, country) to each geo-located tweet. Mostly, geo-located tweets obtained from Twitter’s API already have geographical information such as an administrative unit and a country, in addition to exact coordinates. Yet, not all tweets have such information and, most importantly, some tweets are not located on land – some are just off the coast or somewhere at sea (Figure 1). However, geodetic spatial joining requires computational resources and is time consuming, especially when we have 100+ million geo-located tweets to handle. Thus, we created the OptiSS tool to make computation more efficient. The tool works for any social media data that have at least geographical coordinates.
Figure 1. The OptiSS tool assigns geographical attributes like municipality or country efficiently to social media posts. This is useful particularly when posts are not only located on land, but also off the coast (highlighted in red circles). Continue reading “OptiSS 🧐 — A tool to optimize spatial joining of social media data”
Olle Järv from the Digital Geography Lab attended as an expert panellist in the Nordic-Baltic Migration Conference “Cross-border Mobility in the Nordic-Baltic Region” organized by the Nordic Council of Ministers’ Office in Tallinn, Estonia on September 18, 2020. Olle participated in the second panel ”New Challenges in Cross-Border Mobility, Nordic-Baltic Region” together with Uffe Palludan (Palludan Fremtidsforskning), Jonas Wendel (Nordic Council of Ministers’), Rolle Alho (Uni Helsinki), and Saara Pellander as a moderator (Migration Institute of Finland). In the panel, Olle briefly introduced his BORDERSPACE research project on cross-border mobility and transnational people, and how these research topics benefit from novel data sources such as social media and mobile phone data.
Continue reading “Reflections on the 8th Nordic-Baltic Migration Conference”