What are geospatial embeddings, anyway? A non-expert's reading list
In the geospatial world, like everywhere else, AI is the hottest topic. Anyone who’s looked at a map in the last five years is now talking about foundational models and geospatial embeddings. Some (probably many)—myself included—still struggle to get their heads around those concepts.
Kiri Carini:
I get that end users (which is where I’d put myself on the expertise spectrum) don’t need to understand all the ins and outs of how embeddings are generated. But if we’re going to use them beyond novelty or experimentation, we need to understand enough to know what level of confidence and trust to place in them when applying them to real work.
Kiri’s list is an excellent starting point to learn about geospatial foundational models and embeddings.