Uber H3’s Hexagonal Hierarchical Geospatial Indexing System as a new Urban Layer 👀#84
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Closing as unplanned for the time being, in favour of https://autarkjs.org |
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Hi folks!
Happy to share this long-awaited exploration of the Uber H3’s Hexagonal Hierarchical Geospatial Indexing System as a new Urban Layer in
UM(more precisely, solving #67) 🥳Broadly speaking, by working in pairing closely with Nomatim it leverages the Uber H3 C++ algorithms to construct the most accurate hexagon tessellation, of any given location of interest (for example,
Manhattan, NYC, USA).IMHO,
uberH3broadens the scope of our current, highly micro-focused urban layers (e.g., intersections, streets) by enabling the construction of smaller to larger hexagons for any chosen ROI, introducing a more macro-level and flexible (compared to administrative ROI based urban layers) perspective.PS: It is veryyyy fast to generate the tessellation, I am amazed!
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See how it statically render once we request a given ROI
1.UberLayerSimpleAccComp.mp4
Having a look at the number of speed bumps over Brooklyn entirely
2.UberH3WithSpeedyBumpAccComp.mp4
The known collisions user-study but with
uberH33.UberH3WithCollisonsAccComp.mp4
The known taxi-trips user-study but with
uberH34.UberH3WithTaxTripsAccComp.mp4
Cheers
📚 Documentation preview 📚: https://UrbanMapper--84.org.readthedocs.build/en/84/