GIBD’s recent work, LLM-Geo, was introduced in the 2023 annual conference of GIS Society of Japan. LLM-Geo is a prototype of autonomous GIS that can conduct spatial analysis without human intervention. About 50 GIS professionals tried LLM-Geo in a hands-on session, following a brief introductory presentation by lab member Huan Ning, a PhD student at Penn State. Hands-on participants showed interest in LLM-Geo’s analysis and plotting capability and felt excited about its potential advancements. The GIBD team will continue to improve LLM-Geo. https://www.tandfonline.com/doi/full/10.1080/17538947.2023.2278895
Recent Publications
GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS Preprint (arXiv)
GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis Preprint (arXiv)
SGWR: similarity and geographically weighted regression International Journal of Geographical Information Science
Autonomous GIS: the next-generation AI-powered GIS International Journal of Digital Earth
Integrating human activity into food environments can better predict cardiometabolic diseases in the United States Nature Communications
Converting street view images to land cover maps for metric mapping: a case study on sidewalk network extraction for the wheelchair users Computers, Environment and Urban Systems