issue_comments: 407394381

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https://github.com/pydata/xarray/issues/2288#issuecomment-407394381 https://api.github.com/repos/pydata/xarray/issues/2288 407394381 MDEyOklzc3VlQ29tbWVudDQwNzM5NDM4MQ== 1828519 2018-07-24T12:47:55Z 2018-07-24T12:47:55Z CONTRIBUTOR

@snowman2 I thought about that too, but here are the reasons I came up with for why this might not be the best idea:

  1. CF conventions change over time and depending on which version of the standard you are using, things can be represented differently. This would tie a geoxarray-like library to a specific version of the CF standard which may be confusing and would require adjustments when writing to a NetCDF file to match the user's desired version of the standard.
  2. Using a CF standard CRS description would require conversion to something more useful for just about every use case (that I can think of) that isn't saving to a netcdf file. For example, a PROJ.4 string can be passed to pyproj.Proj or in the near future cartopy to convert to a cartopy CRS object.
  3. If we have to add more information to the crs coordinate to make it more useful like a PROJ.4 string then we end up with multiple representations of the same thing, making maintenance of the information harder.

The result of this github issue should either be a new package that solves all (90+%) of these topics or an easy to implement, easy to use, geolocation description best practice so that libraries can more easily communicate. I think with the CF standard CRS object we would definitely need a new library to provide all the utilities for converting to and from various things.

Lastly, I don't know if I trust CF to be the one source of truth for stuff like this. If I've missed some other obvious benefits of this or if working with WKT or the CF standard CRS attributes isn't actually that complicated let me know.

 
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