Gts.disp2vel

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]
disp2vel(alpha='auto', ndays_mf=1)

Compute time series derivative via L1 trend filter (BIC-optimal parameter).

Uses https://pypi.org/project/trendfilter/

Parameters:

  • alpha (str or float, optional) – Filter parameter; ‘auto’ for BIC-optimal. Default is ‘auto’.

  • ndays_mf (int, optional) – Median filter window (days) before L1-trend. Default is 1.

Returns:

New Gts instance; units m/yr.

Return type:

Gts