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Raster manipulation for the Julia language

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This is a first draft for opening zarr data with ZarrDatasets in Rasters. I just copied the approach in the GRIBDatasets extension into a new extension. This would still need...

Before #416 opening a NetCDF file with multiple variables opened the first valid variable but gave an info that it took the first and which it took. Now it just...

So that these methods know about the dimensions and crs of the `Raster`. We could also just add a hard dependency and start using `apply` and other useful things internally...

An attempt to avoid the worst floating point errors when calculating step. @rafaqz let me know what you think about this heuristic

Currently, `Points` dimensions work in `cellsize` and just returns very very small area values the same everywhere: ```julia julia> using Rasters, ArchGDAL julia> δy = 0.25 0.25 julia> lon =...

This isn't so nice: ```julia julia> lon = X(-179.875:1:179.875); julia> lat = Y(-89.875:1:89.875); julia> ras = Raster(rand(lon, lat)); julia> Rasters.cellsize(ras) ERROR: MethodError: Cannot `convert` an object of type Nothing to...

Currently `rasterize` gives you a vector of indices for problem polygons in metadata. `coverage` warns you about problems but doesn't put them in `metadata`, so you cant see which polygons...

Writing a `Raster` to a netcdf and reading it back in again yields a `Raster` with `Explicit Intervals`, even if the raster originally had `Regular Intervals`. E.g. ```julia using Rasters,...