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A comment on H3: Hexagonal hierarchical geospatial indexing system. Parent comment
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?
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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?