This tool looks very interesting, and seems to work well, but being utterly unfamiliar with geospatial vector embeddings, their purpose or use, I had no idea what I was looking at, or why.
It seems to show areas of similarity, within a radius of a central query location, with regard to (perhaps) vegetation cover (e.g., forests, grasslands, wetlands), artificial surfaces (e.g., urban areas, roads), agricultural areas, water bodies, etc, overlayed on Google Maps, and allows exporting of the embeddings for lat/lons as cvs. It looks like land features for hexagonal grid areas have been turned into points in a 15 dimensional space, and some sort of nearest-neighbor search is done to return most similar other grid areas within the larger area. It does indeed seem accurate in my area!
I'm not sure what this would be useful for, but I'm assuming urban planning, real estate, agriculture or conservation? I know I'm not the target audience, but more info or ideas would be fascinating.
It seems to show areas of similarity, within a radius of a central query location, with regard to (perhaps) vegetation cover (e.g., forests, grasslands, wetlands), artificial surfaces (e.g., urban areas, roads), agricultural areas, water bodies, etc, overlayed on Google Maps, and allows exporting of the embeddings for lat/lons as cvs. It looks like land features for hexagonal grid areas have been turned into points in a 15 dimensional space, and some sort of nearest-neighbor search is done to return most similar other grid areas within the larger area. It does indeed seem accurate in my area!
I'm not sure what this would be useful for, but I'm assuming urban planning, real estate, agriculture or conservation? I know I'm not the target audience, but more info or ideas would be fascinating.