onstove.RasterLayer.normalize#

RasterLayer.normalize(output_path: str | None = None, buffer: bool = False, inverse: bool = False, create_raster: bool | None = True) → RasterLayer[source]#

Normalizes the raster data by a given normalization method.

Parameters:

output_path: str, optional: A folder path where to save the output dataset. If not defined then the normalized dataset is not saved to disk.
buffer: bool, default False: Whether to exclude the areas outside the distance_limit attribute and make them np.nan.
inverse: bool, default False: Whether to invert the normalized layer or not.
create_raster: bool, default True: Boolean condition. If True, a RasterLayer will be created and stored in the normalized attribute of the class. If False, a RasterLayer with the normalized data is returned.

Returns:

RasterLayer: RasterLayer with the normalized data.