New book “Geolingual Studies on Urban Space” published

New book “Geolingual Studies on Urban Space” published

September 15, 2026

The first edited volume on “Geolingual Studies on Urban Space” has now been published by the Edinburgh University Press as part of the series New Directions in World Englishes Research. The volume is edited by Carolin Biewer, Lisa Lehnen, Ninja Schulz and Hannes Taubenböck. Please see here for details: https://edinburghuniversitypress.com/book-geolingual-studies-on-urban-space.html

This volume is one outcome of our Geolingual studies project – https://www.phil.uni-wuerzburg.de/gls. Geolingual Studies is an innovative area of research, where the description of the physical environment is complemented by the linguistic assessment of social networks, identity constructions, discourses and the perception of space in a global and culture-specific context. Therefore methodologies from linguistics, geography / remote sensing, digital humanities and natural language processing are combined in an interdisciplinary way.

In the new book, the focus is on case studies from various megacities, densely populated city-states and capitals around the world including London, Edinburgh, New York, Tokyo, Singapore, Hong Kong, Davao City, Accra, and Mexico City. Our Earth Observation Research Cluster (EORC) and the Earth Observation Center (EOC) of the German Aerospace Center (DLR) contributed in particular to the following chapters:

  • Chapter 1: Geolingual Studies as a New Research Approach in World Englishes – an Introduction – by Carolin Biewer, Hannes Taubenböck, Lisa Lehnen and Ninja Schulz
  • Chapter 7: Imagined communities on Social Media: Exploring Linguistic Othering during Brexit – by Zuzanna Elliot and Richard Lemoine-Rodríguez
  • Chapter 9: Using Geolocated Social Media Data to Verify the Socio-spatial Dimension of Cities – A Case Study on Tweets from New York – by Richard Lemoine-Rodríguez, Carolin Biewer, Johannes Mast and Hannes Taubenböck
  • Chapter 10: Exploring Twitter Discourse across Different Districts of Edinburgh during the COVID-19 Pandemic – by Ninja Schulz and Richard Lemoine-Rodríguez
  • Chapter 11: Using Geolocated Social Media Data for Understanding the Relationships between Language, Topic and Mobility: A Case Study on a Local Use of English in Nigeria – by Johannes Mast, Dominik Heps and Marta Sapena Moll
  • Chapter 12: Spatio-temporal and Linguistic Assessments of Urban Space: Applications, Implications and Outlook – by Carolin Biewer, Lisa Lehnen, Richard Lemoine-Rodríguez, Ninja Schulz and Hannes Taubenböck

 

follow us and share it on:

you may also like:

Remote Sensing for Germany #2

Remote Sensing for Germany #2

Last year, we gave an overview of our remote sensing work on environmental issues having a special focus on Germany – https://remote-sensing.org/remote-sensing-for-germany-1/ . To follow on from this, we present today a selection of studies on spatial patterns...

Simon Plank gives a talk at GZS-Seminar at EOC of DLR

Simon Plank gives a talk at GZS-Seminar at EOC of DLR

On October 22, our habilitation candidate and guest lecturer from DLR, Dr. Simon Plank gave an inspiring talk at the seminar of the department "Georisks and Civil Security (GZS)" at the Earth Observation Center (EOC) of the German Aerospace Center (DLR). The talk was...

New paper ‘From Spatial to Platial Decision Support’ published

New paper ‘From Spatial to Platial Decision Support’ published

Three  years ago, at the Geolingual Studies Workshop (see here: https://remote-sensing.org/geolingual-studies-workshop-day-1/) researchers from very different disciplines developed ideas to explore how we can better understand the relationship between people and urban...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This