I created an h3 polars implementation and I think one of the big one's is flow modeling. As other's have mentioned, each hexagon has 6 equidistant neighbors. As

I created an h3 polars implementation and I think one of the big one's is flow modeling. As other's have mentioned, each hexagon has 6 equidistant neighbors. As a result, it lends itself to analyzing telematics data (hence Uber's backing of h3) - I attached a colab notebook where I do some of this. Trying to do this sort of analysis any other way would be incredibly painful. [1] https://github.com/Filimoa/polars-h3 https://github.com/Filimoa/polars-h3 [2] https://drive.google.com/file/d/18jIVEbE_1QbwTbHdMqj0AVqguf2Vrtrc/view?usp=sharing https://drive.google.com/file/d/18jIVEbE_1QbwTbHdMqj0AVqguf2...