0.3.2

Changes in 0.3.2

• Change inconsistent license classifier in pyproject.toml
• Removed the dependency on zarr. As part of this change,
  xcube_resampling.grid_mapping.cfconv.add_spatial_ref has been removed, as it
  only loosely fit the scope of the xcube-resampling repository.
• Added xcube_resampling.utils.get_utm_crs to return the UTM CRS for a given
  longitude and latitude pair.
• In xcube_resampling.reproject_dataset, the dataset is now clipped when the target
  grid-mapping covers less than 80% of the source grid-mapping, improving performance
  for reprojected cutouts.
• In xcube_resampling.affine_transform_dataset, resampling is now performed per
  spatial slice, ensuring that interpolation is applied only along the spatial axes
  and no longer across non-spatial dimensions (e.g., time).
• When prevent_nan_propagation=True, computation is now fully lazy. Previously, the
  implementation checked for NaN values in the source array, which triggered loading
  of the entire dataset into memory.
• Enhanced GridMapping API documentation.

Full Changelog: v0.3.1...v0.3.2

0.3.1

Changes in 0.3.1

• Fixed a bug in xcube_resampling.rectify_dataset that occurred when processing
  datasets with decreasing x-coordinates.
• Boolean (bool) data arrays now default to nearest-neighbor interpolation.
  For spatial aggregation, values are centered, and 0 is used as the default fill
  value—matching the behavior of integer arrays to ensure consistent and valid results.

Full Changelog: v0.3.0...v0.3.1

0.3.0

What's Changed

• Fixed an issue when retrieving coordinate names from regular grid mappings.
• Improved documentation for the frequency and tolerance arguments of
  xcube_resampling.resample_in_time.
• Fixed incorrect time coverage metadata in dataset attributes after calling
  xcube_resampling.resample_in_time.
• xcube_resampling.rectify_dataset is now fully lazy and scalable.
• Removed methods test_ij_bbox_from_xy_bbox and test_ij_bboxes_from_xy_bboxes from
  xcube_resampling.gridmapping.GridMapping. These methods were only used by
  xcube_resampling.rectify_dataset; their updated implementations now live in
  xcube_resampling.rectify._compute_source_tile_indexing.
• Added support for rectifying datasets with decreasing x-coordinate in
  xcube_resampling.rectify_dataset.

Full Changelog: v0.2.4...v0.3.0

0.2.4

Changes in 0.2.4

• Improved performance when creating GridMapping from 2D coordinates.
  Parameter estimation now uses only corner points instead of the full set of
  coordinates, significantly reducing runtime for large datasets.
• Bug fix in affine transformations.
  Fixed a half-pixel shift that occurred in xcube_resampling.affine_transform_dataset
  and xcube_resampling.resample_in_space when the source and target grid mappings
  shared the same CRS and were regular.

Full Changelog: v0.2.3...v0.2.4

0.2.3

Changes in 0.2.3

• In xcube_resampling.resample_in_time, the method suffix in the output data variable
  names is now added only when the agg_methods or interp_methods parameters are
  provided as mappings, or when multiple resampling methods are applied to the data
  variable.

Full Changelog: v0.2.2...v0.2.3

0.2.2

Changes in 0.2.2

• Added support for spatial rectification of datasets in
  xcube_resampling.rectify_dataset even when spatial coordinates are not stored in
  the dataset’s coordinate variables

Full Changelog: v0.2.1...v0.2.2

0.2.1

Changes in 0.2.1

• Added the output_indices_names parameter to xcube_resampling.rectify_dataset to
  allow storing the source pixel indices.

Full Changelog: v0.2.0...v0.2.1

0.2.0

Changes in 0.2.0

• Enhanced the function bbox_overlap so that it can handle bounding boxes crossing
  the antimeridian
• Added new class method GridMapping.regular_from_bbox, which allows creating a
  regular grid mapping directly from a bounding box, spatial resolution, and CRS.
• Added new function utils.resolution_meters_to_degrees which converts spatial
  resolution from meters to degrees in latitude and longitude at a given geographic
  latitude.
  • 1 degree of latitude ≈ 111,320 meters (constant approximation).
  • 1 degree of longitude ≈ 111,320 * cos(latitude) meters.
• Bug fix: fixed grid mapping creation for irregular grids with decreasing longitude
  along axis 1.
• Added xcube_resampling.resample_in_time which allows to resample a dataset along
  the time axis. It supports up- and down-sampling.
• Renamed the parameter recover_nans to prevent_nan_propagations, which can be
  a boolean or a mapping (from variable name or dtype to boolean) that, when True,
  prevents NaN propagation during upsampling or interpolation.

0.1.1

Changes in 0.1.1

• Improved xcube_resampling.utils.clip_dataset_by_bbox to support datasets with
  2D coordinates. This function is also used internally by
  xcube_resampling.rectify.rectify_dataset.
• Added reproject_bbox, a utility to reproject a bounding box from one CRS to another.
• Added bbox_overlap, a utility that computes the fraction of the source bounding box
  overlapped by the target bounding box.

0.1.0

Changes in 0.1.0

• Added algorithm for affine transformation. (#4)
• Added algorithm for rectification of non-regular grids. (#4)
• Added algorithm for reprojection to a different coordinate reference system (CRS).
  (#4)
• Introduced main function resample_in_space, which dynamically selects the
  appropriate resampling algorithm based on the input dataset. (#4)
• Added initial unit tests to verify core functionality. (#4)
• Introduced a new unified keyword argument interp_method that supports values 0,
  1, "nearest", "triangular", and "bilinear". This argument applies
  consistently across all three resampling algorithms, simplifying usage and
  improving API consistency. (#8)
• Documentation added, which is available at
  https://xcube-dev.github.io/xcube-resampling/. (#10)