The order in which cells are stored in memory determines the chunking and thus access speed of the data (read, query). Cells nearby in geographical space should also be nearby in memory space. See #28 for general thoughts on indexing schemes.
Uber H3 has a sophisticated cell index allowing fast access of parents (which is just a prefix of the address) and neighbors (All children of a parent aka all cells with same prefix). DGGRID ISEA7H is very similar to Uber H3 and will profit from a similar indexing scheme (Kmoch et al. 2022). Can we adopt Uber H3 indexing scheme to ISEA7H and otthers?
Feature
DGGRID ISEA7H
Uber H3
Cell topology
Hexagon and others
Hexagon
Cell Aperture
7 and others
7
Geoid
unit sphere
unit sphere
Polyhedron
Icosahedron
Icosahedron
Cell centering
Pentagon centered at polhydron vertex
Hexagon centered in polyhedron face center
Uber H3 base cells at one icosahedron face
ISEA7H Icosahedron
ISEA7H at resolution 0 (12 red pentagons) and resolution 1 (60 white hexagons + 12 white pentagons)
The order in which cells are stored in memory determines the chunking and thus access speed of the data (read, query). Cells nearby in geographical space should also be nearby in memory space. See #28 for general thoughts on indexing schemes.
Uber H3 has a sophisticated cell index allowing fast access of parents (which is just a prefix of the address) and neighbors (All children of a parent aka all cells with same prefix). DGGRID ISEA7H is very similar to Uber H3 and will profit from a similar indexing scheme (Kmoch et al. 2022). Can we adopt Uber H3 indexing scheme to ISEA7H and otthers?