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[return to "Stop using zip codes for geospatial analysis (2019)"]
1. serjes+xi[view] [source] 2025-02-07 18:30:26
>>voxada+(OP)
H3 is awesome here! What I don't think many people realize is that H3 cells and normal geographic data (like zips) are not mutually exclusive. You can take zip outlines, and find all the h3 cells within them and allocate your metric accordingly (population, income, etc).

This makes joining disparate data sources quite easy. And this also lets you do all sorts of cool stuff like aggregations, smoothing, flow modeling, etc.

We do some geospatial stuff and I wrote a polars plugin to help with this a while back [1].

[1] https://github.com/Filimoa/polars-h3

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2. hammoc+cv[view] [source] 2025-02-07 19:44:41
>>serjes+xi
What is the benefit of H3 vs a rectangular grid?
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3. kyleba+Zx[view] [source] 2025-02-07 20:03:13
>>hammoc+cv
Equal distances to each adjacent neighbor: https://www.uber.com/blog/h3/
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4. ajfrie+DH[view] [source] 2025-02-07 21:02:16
>>kyleba+Zx
They also only have one type of neighbor. Square grids have 2 neighbor types. Triangular grids have 3.
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