watex.utils.exmath.define_anomaly

watex.utils.exmath.define_anomaly(erp_data, station_position=None, pks=None, dipole_length=10.0, **kwargs)

Function will select the different anomalies. If pk is not given, the best three anomalies on the survey lines will be computed automatically

Parameters:

• erp_data (array_like) – Electrical resistivity profiling

• pks (list or dict) – station positions anomaly boundaries (pk_begin, pk_end) If selected anomalies is more than one, set pks into dict where number of anomaly =keys and pks = values

• dipole_length (float) – Distance between two measurements in meters Change the `dipole lengh

• station_position – station position array

Returns:

list of anomalies bounds