issue_comments: 195676319

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https://github.com/pydata/xarray/issues/790#issuecomment-195676319 https://api.github.com/repos/pydata/xarray/issues/790 195676319 MDEyOklzc3VlQ29tbWVudDE5NTY3NjMxOQ== 2443309 2016-03-12T07:01:12Z 2016-03-12T07:01:12Z MEMBER

Thanks @fmaussion. This was a helpful illustration of how this could be done. The salem GeoTiff and Grid objects include all and more than I was hoping to implement in xarray. However, after a bit more looking into this, I have mixed feelings about whether this would work in xarray. A brief summary of the pros/cons as I see them now.

Pros: - Rasterio supports a wide range of raster formats (e.g. GeoTiff, ArcInfo ASCII Grid, etc.) - Combined with pyproj, coordinate variables can be inferred - Supports windowed reading (and writing), this would fit in well with the chunking approach already taken by xarray. - Supports lazy loading of array values, this would fit in well with the loading policies of the other xarray backends.

Cons: - Would require xarray to adopt conventions for projecting arrays, naming (coordinates, dimensions, arrays), and handling of raster attributes. I can image ways this could be done but it may take us in down a path we don't want to go. - The xarray backends generally return Datasets, however, rasterio returns individual arrays that would better be applied to DataArrays.

 
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