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xcube-resampling

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xcube-resampling provides efficient algorithms for transforming datasets into different spatial grids and temporal scales. It is designed for geospatial workflows that need flexible resampling and reprojection. This library provides up and downsampling for both spatial and temporal domains.

✨ Features

  • Spatial Resampling

    • Affine resampling – simple resampling using affine transformations
    • Reprojection – convert datasets between different coordinate reference systems (CRS)
    • Rectification – transform irregular grids into regular, well-structured grids
  • Temporal Resampling

    • Time-based resampling – upsample or downsample data along the time dimension

All methods work seamlessly with chunked (lazily loaded) xarray.Datasets and are powered by Dask for scalable, out-of-core computation.

⚡ Lightweight & Independent

The package is independent of the core xcube framework and has minimal dependencies: affine, dask, dask-image, numba, numpy, pyproj, xarray.

Find out more in the xcube-resampling Documentation.

Release files for xcube-resampling 0.3.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for xcube-resampling 0.3.5
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Table of built distributions (wheels) for xcube-resampling 0.3.5
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xcube_resampling-0.3.5-py3-none-any.whl Python 3 none any Details

Total release size: 160.6 kB

Release files / xcube_resampling-0.3.5.tar.gz

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