nd.change package
- class nd.change.OmnibusTest(ml=None, n=1, alpha=0.01, *args, **kwargs)[source]
Bases:
nd.change.ChangeDetection
This class implements the change detection algorithm by Conradsen et al. (2015).
- Parameters
ds (xarray.Dataset) – A (multilooked) dataset in covariance matrix format.
ml (int, optional) – Multilooking window size. By default, no multilooking is performed and the dataset is assumed to already be multilooked.
n (int, optional) – The number of looks in ds. If ml is specified this parameter is ignored (default: 1).
alpha (float (0. ... 1.), optional) – The significance level (default: 0.01).
kwargs (dict, optional) – Extra keyword arguments to be applied to
ChangeDetection.__init__
.
- nd.change.omnibus(ds, ml=None, n=1, alpha=0.01, *args, **kwargs)[source]
Wrapper for
nd.change.OmnibusTest
.OmnibusTest
This class implements the change detection algorithm by Conradsen et al. (2015).
- Parameters
ds (xarray.Dataset) – A (multilooked) dataset in covariance matrix format.
ml (int, optional) – Multilooking window size. By default, no multilooking is performed and the dataset is assumed to already be multilooked.
n (int, optional) – The number of looks in ds. If ml is specified this parameter is ignored (default: 1).
alpha (float (0. ... 1.), optional) – The significance level (default: 0.01).
kwargs (dict, optional) – Extra keyword arguments to be applied to
ChangeDetection.__init__
.