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In #33 I started by implementing a function tar_stars() based on stars::write_stars() to support targets based on stars objects. I also added an extension to the tar_format() read function to support stars_proxy objects after @Aariq's suggestion
It is possible to store both raster and vector data in stars objects. For multidimensional arrays, which can be derived from vector data, a driver needs to be chosen that will support multidimensional array output (e.g. netCDF, Zarr).
I implemented a sketch of this in f74fe91 which implements the mdim argument to toggle the multidimensional API in tar_stars() and tar_stars_proxy()
We could add options specifically for "mdim"-related processing such as "gdal.mdim.driver", since the user may wish to be able to handle their multidimensional datasets differently than other 2D raster data or vector data.
Related to #4
We need to list the datatypes from {stars} that we want to support
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