COVID-19 and the digital food environment

Our student Alexandra Kalbus will present her fascinating work on how the pandemic has reshaped the digital food environment at International Medical Geography Symposium (Edinburgh, 19th - 24th June): Authors: Alexandra Kalbus, Andrea Ballatore, Laura Cornelsen, Steven Cummins Title: "Area deprivation and changes in the digital food environment during the COVID-19 pandemic: a longitudinal analysis … Continue reading COVID-19 and the digital food environment →

The spatial and temporal variability of Wikipedia content in London

Our student Shahreen Nawfee will present her new short paper at the flagship conference GIScience 2021, which is happening online this year. Check out the conference programme here. Abstract. Spatial user-generated content (UGC) is increasingly being used to study a variety of geographical phenomena, including urban change in social and economic dimensions. Wikipedia content evolves over … Continue reading The spatial and temporal variability of Wikipedia content in London →

This city is not a bin: User-generated content to map litter

I am pleased to share this new article that just appeared in the Journal of Industrial Ecology. It is a inter-disciplinary study between industrial ecology and geographic data science that I crafted with my esteemed colleagues in Leiden Stefano Cucurachi et al. It is nice to see that the study received some media coverage. The … Continue reading This city is not a bin: User-generated content to map litter →

Los Angeles as a digital place: mapping bias in user-generated content

In this new article, written with fellow geographer Stefano De Sabbata, we explore the relationship between spatial user-generated content from Twitter, Foursquare, OpenStreetMap, and Wikipedia and socio-economic variables in Los Angeles County [read the full paper in PDF]. All the data and resources are freely available on GitHub. Abstract: Online representations of places are becoming pivotal in informing our … Continue reading Los Angeles as a digital place: mapping bias in user-generated content →