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It provides a way to partition the surface of the earth into discrete, identifiable grid cells at multiple resolutions.

Browse a collection of example notebooks, and if you have examples or visualizations of your own, please feel free to contribute We also have an introductory walkthrough of the api. Compute the h3 distance between two cells The h3 distance is defined as the length of the shortest path between the cells in the graph formed by connecting adjacent cells.

I'm trying to take a h3 hex id and convert it to a polygon to use in a geodataframe (and eventually export as a shapefile) All of the methods in h3 documented online don't seem to work for me, and cannot figure out what method to use The schema of the output column will be t.arraytype(t.stringtype()), where each value in the array is an h3 cell. The h3 distance is defined as the length of the shortest path between the cells in the graph formed by connecting adjacent cells

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This function will return an h3valueerror if the cells are too far apart to compute the distance.

Given two h3 indexes, return the line of indexes between them (inclusive) This function may fail to find the line between two indexes, for example if they are very far apart It may also fail when finding distances for indexes on opposite sides of a pentagon

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