Changelog
CAVAanalytics 3.2.6
In this new version of CAVAanalytics there have been two minor changes to the load_data and load_data_hub functions to better handle requests to the database where climate data is stored.
CAVAanalytics 3.2.5
In this new version of CAVAanalytics we added some functionalities to easily customise plot appearances. Specifically:
- the remove_facet function can be used with ggplot syntax to remove facet labels and produce a “clean” plot
- the rename_facet function can be used to change the facet labels when ensemble is TRUE in the plotting function
- The years_selection function can be used to subselect specific years after load_data. This is useful to create composite plots as shown in the Introduction vignette
CAVAanalytics 3.2.0
In this new version of CAVAanalytics we improve the bias correction funcionalities of CAVAanalytics. Specifically:
- the scaling method was included among bias-correction options
- Cross-validation was added as an option in model_biases to take care of overfitting
- The window argument allows to bias-correct data monthly or on annual basis
- The memory efficient functions performs interpolation when needed to merge spatial chunks with different resolutions
CAVAanalytics 3.1.0
In this new version of CAVAanalytics, many improvements have been made:
- Users can now select which bias correction method to use (default to Empirical Quantile Mapping)
- Intervals can be specified for customizing breaks in the color palette
- Improved performance of the memory efficient functions
- Added option to visualize climate change signal as percentage
- Other minor changes