Comment by wisemang
1 month ago
So the tree data itself mainly comes from municipal open data, just like yours does. Street Trees datasets are pretty common across cities. I just added SF yesterday after replying here :)
Otherwise the map tiles are coming from OpenFreeMap [1] which are indeed based on OSM.
Next steps I'm interested in are including economic + ecological benefits of the trees, highlighting potential pests / invasive species, maybe some other basic info about the species sourced from Wikipedia.
I like how you've got different icons for different types of trees; I've been thinking about how to encode DBH data as well but haven't settled on anything yet.
Yeah I have a 'species' info table that's built by curating wikipedia and a few other sources and passing them through a structured LLM pipeline; ecological benefit; blooming season; native regions, etc. This is very much a 'rough cut' at the moment; I want to put more quality gates and evals in it. If you're interested in collaborating all the raw parquet datasets I have are in a public GCS bucket - happy to have them pulled in anywhere else!
DBH I'm doing for the "size" right now, though I'd love to figure out how to get canopy shape/size as well, and height where possible. (and then maybe proxy height a species level from DBH, since that's more common).
(apologies for belated response)