Positive Traits
- Largely isotropic.
- Resolution can be easily increased by binary division.
- Does not suffer from over sampling near the poles like more traditional rectangular longitude/latitude square grids.
- Does not result in dense linear systems like spectral methods do (see also Gaussian grid).
- No single points of contact between neighboring grid cells. Square grids and isometric grids suffer from the ambiguous problem of how to handle neighbors that only touch at a single point.
- Cells can be both minimally distorted and near-equal-area. In contrast, square grids are not equal area, while equal-area rectangular grids vary in shape from equator to poles.
Read more about this topic: Geodesic Grid
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