Gts.test_offset_significance

class pyacs.gts.Gts.Gts(code=None, lat=None, lon=None, h=None, X0=None, Y0=None, Z0=None, t0=None, data=None, data_xyz=None, data_corr_neu=None, data_corr_xyz=None, offsets_dates=[], offsets_values=None, outliers=[], annual=None, semi_annual=None, velocity=None, ifile=None, log=None, metadata=None)[source]
test_offset_significance(date, conf_level=95, lcomponent='NE', verbose=True, debug=False, mode='local')

Test whether an offset is statistically significant.

Parameters:

  • date (float) – Offset date in decimal year.

  • conf_level (float, optional) – Confidence level in percent. Default is 95.

  • lcomponent (str, optional) – Components to test (‘N’,’E’,’U’). Default is ‘NE’.

  • verbose (bool, optional) – Verbose mode. Default is True.

  • debug (bool, optional) – Debug output. Default is False.

  • mode (str, optional) – ‘local’, ‘detrend’, or ‘detrend_seasonal’. Default is ‘local’.

Returns:

True if significant, else False.

Return type:

bool