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Ly0n avatar Ly0n commented on July 21, 2024 1

Recently I discovered H3 which allows to index locations based on a single label. The resolution of a hexagon is variable. In case you do not know about H3 yet this blog post about why Uber created H3 could be interesting.

Geofences for representing countries/states need to be defined as polygon (e.g. GeoJSON) which can be filled with H3 hexagons (of variable resolution). For more info about how to use H3 with the Python wrapper head over to https://link.medium.com/0WwFoSLjlqb .

@joshhopkins told me about this format. That would be the answer to another issue, which interestingly enough is also coming up right now. That would be an answer to another question that, interestingly enough, is also being asked right now. What would be a suitable data format / middleware between different field Earth Observation / GIS projects. I actually do not know about a single project mapped on Open Sustainable Technology that is using H3. The API standard with the widest distribution that I could find in this area is SpatioTemporal Asset Catalogs STAC.

Within this issue, it's more about sorting the projects by state/province/continent. Users of OpenSustain.tech should be given the possibility to filter the projects according to this in the future.

from open-sustainable-technology.

fkromer avatar fkromer commented on July 21, 2024

Recently I discovered H3 which allows to index locations based on a single label. The resolution of a hexagon is variable. In case you do not know about H3 yet this blog post about why Uber created H3 could be interesting.

Geofences for representing countries/states need to be defined as polygon (e.g. GeoJSON) which can be filled with H3 hexagons (of variable resolution). For more info about how to use H3 with the Python wrapper head over to https://link.medium.com/0WwFoSLjlqb .

from open-sustainable-technology.

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