4 ms·
First time I saw geohashing. Can't this result in some lopsided squares? The way it is described has a standard rectangle projection. But those are inaccurate d
by jtchang 4y ago
First time I saw geohashing. Can't this result in some lopsided squares? The way it is described has a standard rectangle projection. But those are inaccurate due to the earth being spherical. So the areas on top and bottom will be much larger.
To be fair I've heard of most of these in my career but they are fairly specialized. If you are conducting a system design interview and expecting the candidate to know one of these I'd suspect there is a bit of bias there (unless that is their area of study).
- bigbillheck 4y ago> So the areas on top and bottom will be much larger. Should be fine in practice, not much demand there.
- Someone 4y agoI think the argument is that it wastes lots of code space on uninteresting parts of the world, and also has higher resolution there. For the first, about ⅓ of the world’s population lives in 0110, and about 0 of it in 0000, 0010, 1000 and 1010, combined. For the second, I would use an area-preserving projection of earth on a square.
- killingtime74 4y agoThe shape is considered by H3 https://www.uber.com/en-NZ/blog/h3/ https://www.uber.com/en-NZ/blog/h3/
- patches11 4y agoI think in practice you might use something like https://h3geo.org/docs/ https://h3geo.org/docs/