watex.methods.ERP

class watex.methods.ERP(erp_fn=None, dipole_length=None, auto=False, posMinMax=None, **kwargs)

Electrical resistivity profiling class . Define anomalies and compute its features. Can select multiples anomalies on ERP and give their features values.

Parameters:

• erp_fn (*) – Path to electrical resistivity profile

• dipole_length (*) – Measurement electrodes. Distance between two electrodes in meters.

• auto (*) – Trigger the automatic computation . If the auto is set to True, dont need to provide the posMinMax argument otherwise posMinMax must be given.

• posMinMax (*) – Selected anomaly boundary. The boundaries matches the startpoint as the begining of anomaly position and the endpoint as the end of anomaly position. If provided , auto will be turn off at False even True.

Notes

Provide the posMinMax is strongly recommended for accurate geo-electrical features computation. If not given, the best anomaly will be selected automatically and probably could not match what you expect.

Hold others informations:

Attributes	Type	Description
lat	float	sation latitude
lon	float	station longitude
elev	float	station elevantion in m or ft
east	float	station easting coordinate (m)
north	float	station northing coordinate (m)
azim	float	station azimuth in meter (m)
utm_zone	str	UTM location zone
resistivity	dict	resistivity value at each station (ohm.m)
name	str	survey location name
turn_on	bool	turn on/off the displaying computa- tion parameters.
best_point	float/int	position of the selected anomaly
best_rhoa	float	selected anomaly app.resistivity
display_autoinfos	bool	display the selected three best anomaly points selected automatic- cally.

• To get the geo-electrical-features, create an erp object by calling:

  >>> from watex.methods.erp import ERP
  >>> anomaly_obj =ERP(erp_fn = '~/location_filename')
  

The call of the following erp properties attributes:

properties	Type	Description
select_best_point_	float	Best anomaly position points
select_best_value_	float	Best anomaly app.resistivity value.
best_points	float	Best positions points selected automatically.
best_sfi	float	Best anomaly standart fracturation index value.
best_anr	float	Best
best_power	float	Best anomaly power in meter(m).
best_magnitude	float	Best anomlay magnitude in ohm.m
best_shape	str	Best anomaly shape. can be V, W,``K``, H, C, M.
best_type	str	Best anomaly type. Can be : - EC for Extensive conductive. - NC for narrow conductive. - CP for conductive plane. - CB2P for contact between two planes.

Examples

>>> from watex.methods.erp import ERP
>>> anom_obj= ERP(erp_fn = 'data/l10_gbalo.xlsx', auto=False,
...                  posMinMax= (90, 130),turn_off=True)
>>> anom_obj.name
... l10_gbalo
>>> anom_obj.select_best_point_
...110
>>> anom_obj.select_best_value_
...132
>>> anom_obj.best_magnitude
...5
>>> nom_obj.best_power
..40
>>> anom_obj.best_sfi
...1.9394488747363936
>>> anom_obj.best_anr
...0.5076113145430543