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among the many distinctions in *geospatial analysis*, it seems like physical geographers use "AI" in the 'traditional' sense of, like, deep nets applied to imagery data. whereas human geographers use it in the LLM sense of, like 'please vibecode my work for me because i asked so nicely'

to be clear, i dont think 'artificial intelligence' is really an accurate description in either context and both groups are using it because marketing, but the physical geography application is much more appropriate ...even though human geog, as a social science, is a much harder discipline :P

Is it harder though? I mean, it could be harder, but in practice I wager an LLM with a prompt that emphasizes “critical theory” and a vice-coded map basically does the trick 90% of the time.