Skip to content

Releases: xcube-dev/xcube-multistore

0.3.0

22 Dec 09:35

Choose a tag to compare

Changes in 0.3.0

  • Unified spatial resampling: Switched to the new
    xcube_resampling.resample_in_space library, replacing
    xcube.core.resampling.resample_in_space.
  • Spatial resample parameters: Added support for spatial_resample_params
    and updated the configuration visualization to display these parameters.
  • Temporal resampling: Introduced xcube_resampling.resample_in_time with
    temporal_resample_params added to the configuration to cover temporal resampling.
  • Controlled cube generation: xcube_multistore.MultiSourceDataStore is now only
    initialized in the constructor without automatically starting cube generation.
    A new generate() method is provided to explicitly start cube creation.
  • Geolocation visualization: Added display_geolocations() to visualize
    all requested geolocations of the datacubes to be generated.
  • Fixed visualization of preload handle
  • Experimental configuration setup GUI added using panel.
  • Implemented a new access handler that supports large dataset requests by
    automatically splitting and retrieving data from the "cds", "stac-cdse-ardc",
    and "stac-pc-ardc" data stores.

Full Changelog: v0.2.0...v0.3.0

0.2.0

15 Sep 12:55

Choose a tag to compare

Changes in 0.2.0

  • Added the method display_config, which provides an overview of the cube generation
    plan retrieved from the configuration file.
  • Added auxiliary functions to support setting up configurations for cube generation.
    Examples of all functionalities are provided in the notebook setup_config.ipynb.

0.1.0

25 Mar 09:24
6023a07

Choose a tag to compare

Changes in 0.1.0

  • The initial version of the Multi-Source Data Store has been developed in
    the xcube_multistore package. It supports the following features:
    • subset of dataset (defined by grid mapping)
    • resample and reproject dataset (defined by grid mapping)
    • grid mapping may be defined by the user or by a dataset
    • allow for time series at a single spatial point; interpolate the neighbouring points
    • allow data fusion, where data variables in one xr.Dataset refers to different data sources
    • support spatial cutout of an area around a defined spatial point.
    • support preload API for xcube-clms and
      xcube-zendoo
    • allow to write to netcdf and zarr