Lib.gadjust.gra.gra Class Reference

Gauge-Radar Analysis class. More...

Public Member Functions
	__init__ (self, points)
	Initializer.
	get_2nd_order_adjustment (self)
	Derives a second-order statistical relation including quality control.
	least_square_nth_degree (self, order)
	Utility method for deriving least-squares fit of the nth order.
	get_correlation (self)
	Derives correlation coefficient between G-R (dB) and distance.
	get_std_deviation (self)
	Derives mean and standard deviation of the G-R point pairs.
	get_mean_quality (self)
	Derives mean QUALITY of the point pairs.
	get_stddev_quality (self, m)
	Derives the standard deviation of G-R point-pair quality.
	quality_control_2nd_order (self, a, b, c)
	Conducts quality control of the relation between G-R point pairs and surface distance.

Public Attributes
	points = points
float	corr_coeff = 1.0
str	significant = "False"
float	qc = 0.0
tuple	points = (p.Fq - m)**2

Detailed Description

Gauge-Radar Analysis class.

Constructor & Destructor Documentation

__init__()

Lib.gadjust.gra.gra.__init__	(		self,
			points )

Initializer.

Parameters

points

list of synop points

Member Function Documentation

get_2nd_order_adjustment()

Lib.gadjust.gra.gra.get_2nd_order_adjustment

(

self

)

Derives a second-order statistical relation including quality control.

Returns

coefficients a, b, c together with mean and standard deviation of the G-R point pairs (dB)

get_correlation()

Lib.gadjust.gra.gra.get_correlation

(

self

)

Derives correlation coefficient between G-R (dB) and distance.

Returns

float correlation coefficient

get_mean_quality()

Lib.gadjust.gra.gra.get_mean_quality

(

self

)

Derives mean QUALITY of the point pairs.

Returns

float mean quality

get_std_deviation()

Lib.gadjust.gra.gra.get_std_deviation

(

self

)

Derives mean and standard deviation of the G-R point pairs.

Returns

tuple containing mean and standard deviation

get_stddev_quality()

Lib.gadjust.gra.gra.get_stddev_quality	(		self,
			m )

Derives the standard deviation of G-R point-pair quality.

Parameters

m	float mean

Returns

float standard deviation

least_square_nth_degree()

Lib.gadjust.gra.gra.least_square_nth_degree	(		self,
			order )

Utility method for deriving least-squares fit of the nth order.

Parameters

order

int representing order of fit

quality_control_2nd_order()

Lib.gadjust.gra.gra.quality_control_2nd_order	(		self,
			a,
			b,
			c )

Conducts quality control of the relation between G-R point pairs and surface distance.

Point pairs more than 2 standard deviations in error are rejected.

Parameters

a	float coefficient a
b	float coefficient b
c	float coefficient c

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The documentation for this class was generated from the following file:

• /github/workspace/Lib/gadjust/gra.py