Comments (4)
That depends on the particular use-case you're interested in.
Any grid system like H3 or S2 is a discretization of your data and some precision is going to be lost* versus the original coordinates. I would recommend looking at the table of resolution sizes and decide which hexagon size is the best fit for you.
But the lowest resolutions are generally the least useful, since res 0 is roughly continental in size. Resolution 7 is the first resolution that seems useful for human-scaled applications, in my opinion.
Resolution 7: Roughly city-sized
Resolution 8: Roughly neighborhood-sized
Resolution 9: Roughly 2-4 city blocks in size (different cities have different block sizes)
Resolution 10: Less than a city block in size
...
Resolution 15: Coffee table-sized
(I haven't really used resolutions 11-14, either, because they're too fine grained for vehicle map data, but they would probably have useful applications for mapping the interior of a building.)
*: Actually resolution 15 of H3 produces hexagons smaller than the accuracy of almost all GPS units, and so could be considered a form of lossless compression of the data versus the floats required to define lat, lng
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Answered here: https://stackoverflow.com/questions/50725530/how-to-choose-the-suitable-h3-resolutions-when-use-polyfill
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Closing this now - please use StackOverflow for further discussion (trying to move this kind of question to that platform). Thanks!
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@dfellis @nrabinowitz Thanks!
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