Rafael Schouten

This works now in `extract`, you can just extract any kind of geometry from a Raster/RasterStack and get a table (vector of NamedTuple) back

Unfortunately JLArray is not complete, there are things it breaks that actually work with a CuArray. But yes it's a good start, we should use it in tests everywhere.

Zarr is actually supported by netcdf now. So all we have to do is add `.zarr` to the list of netcdf file types. Making it efficient may be another story,...

Be sure to make issues here for anything that is not competetive with Python. There is a new PR aboit to merge that will improve a lot, but lots more...

Yes, we actually collaborate on DiskArrays.jl that is underneath both packages. But the ecosystem still has no settled on raster packages yet.

Try NCDatasets.jl... The zarr extension hasnt been added here, as I said above?

What's the efficiency problem?

NCDatasets jl isn't slow tho, probably we need to fix ZarrDatasets

I think this already works on one of the branches

Thanks for the report with MWE. It shouldn't be difficult to load these it just has to be written. Using `..` `Near` and `At` selectors with these is a harder...