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ND-arrays representing spatial data may have highly related data located spatially in an n-dimensional sense. It's possible that pre-ordering the buffer with some sort of space-filling curve would improve compression.
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I think there is overlap with zarr-developers/zarr-python#40 where @shoyer proposed re-ordering each chunk's buffer using the Z-order curve, except here the goal is to improve compression and in zarr-developers/zarr-python#40 the goal is to reduce overhead associated with accessing small data regions.
I'm going to transfer this to numcodecs, because I think this is more of a request for a new filter or codec. If there's interest in adding this to the zarr v3 spec, then https://github.com/zarr-developers/zarr-specs is the place to propose/discuss.
ND-arrays representing spatial data may have highly related data located spatially in an n-dimensional sense. It's possible that pre-ordering the buffer with some sort of space-filling curve would improve compression.
The text was updated successfully, but these errors were encountered: