GeoAI in Urban Analytics

This special issue on GeoAI led by Stef De Sabbata et al. is finally out! 🌍📈🤖🌆.

📜 Stefano De Sabbata, Andrea Ballatore, Harvey J. Miller, Renée Sieber, Ivan Tyukin & Godwin Yeboah (2023) GeoAI in urban analytics, International Journal of Geographical Information Science, 37:12, 2455-2463, DOI: 10.1080/13658816.2023.2279978 [web]

(Image from Bing Create)

We are writing this editorial piece at the peak of the current Artificial Intelligence (AI) ‘spring’ as generative models quickly cross the bridge from the confines of academic and industry labs into our everyday lives. During times like this, one might be excused from forgetting how old the application of AI approaches in geography is. Geographers have been here before. About forty years ago, Smith (Citation1984) wrote:

AI techniques, if properly applied, should also allow researchers to spend a greater proportion of their time on creative thinking and less on technical drudgery. As with any set of tools, the techniques of AI cannot replace a hard-earned understanding of some phenomenon and will almost certainly be overvalued and misused by some practitioners. [Nevertheless], if used with care, the techniques of AI will prove of great benefit to such an applied, problem solving discipline as geography. (p. 157).