[peterburkimsher]

Thank you for linking the comparison to S2!

The big difference to me seems to be the shape of the cells: hexagonal for H3, square for S2.

H3 hexagonal is better for seeing more neighbouring cells.

S2 is better for being referenced with a numeric coordinate system, and uses a fractal space-filling curve to generate subdivisions.

https://s2geometry.io/devguide/s2cell_hierarchy

Fractals are super efficient (a binary tree is a fractal used for search) so I feel like I prefer S2 in this case. How are fractals being used in H3, and could other cell geometry be more efficient than the space-filling curve fractal used in S2?