GeoCogent: An LLM Agent for Geospatial Code Generation
An LLM-based agent that plans, retrieves geospatial knowledge, and generates and iteratively debugs code to complete geospatial programming tasks.
Citation
Hou S., Jiao H., Liang J., Shen Z., Zhao A., Wu H. (2025). GeoCogent: an LLM-based agent for geospatial code generation. International Journal of Geographical Information Science. doi:10.1080/13658816.2025.2549460
Cover figure: Overall architecture of GeoCogent. From Hou et al. (2025), International Journal of Geographical Information Science.
Authors
PhD Student in Geospatial AI
I am a PhD student at the Chair of Cartography and Visual Analytics
at the Technical University of Munich, supervised by Prof. Liqiu Meng and
mentored by Prof. Yu Feng. I came to AI from maps. I studied geodesy,
cartography and GIS at Wuhan University, where I first used language
models to make sense of geospatial code, and I now spend most of my time
on the AI side of GeoAI. Besides research, I supervise Master’s students
and maintain open learning resources on LLM agents and web scraping.