#include <environmental_distance.hh>

Inheritance diagram for EnvironmentalDistance:

Collaboration diagram for EnvironmentalDistance:

Public Member Functions
	EnvironmentalDistance ()
	~EnvironmentalDistance ()
int	initialize ()
int	done () const
Scalar	getValue (const Sample &x) const
Protected Member Functions
virtual void	_getConfiguration (ConfigurationPtr &) const
virtual void	_setConfiguration (const ConstConfigurationPtr &)
Private Types
enum	DistanceType { EuclideanDistance = FIRST_DISTANCE_TYPE, MahalanobisDistance, ManhattanDistance, ChebyshevDistance }
Private Member Functions
void	_calc_covariance_matrix ()
Scalar	_distance (const Sample &x, const Sample &y) const
bool	_init_distance_type ()
Scalar	_poz (Scalar z) const
Scalar	_pochisq (Scalar x, int df) const
Private Attributes
bool	_done
int	_layer_count
int	_presence_count
std::vector< Sample >	_presence_points
Scalar	_par_dist
int	_par_dist_type
int	_par_point_qnt
bool	_use_chisq
Matrix *	_cov_matrix
Matrix *	_cov_matrix_inv
Sample	_average_point

Detailed Description

Definition at line 38 of file environmental_distance.hh.

Member Enumeration Documentation

enum EnvironmentalDistance::DistanceType [private]

Enumerator:

EuclideanDistance
MahalanobisDistance
ManhattanDistance
ChebyshevDistance

Definition at line 71 of file environmental_distance.hh.

Constructor & Destructor Documentation

EnvironmentalDistance::EnvironmentalDistance ( )

Definition at line 118 of file environmental_distance.cpp.

References _cov_matrix, _cov_matrix_inv, AlgorithmImpl::_normalizerPtr, DATA_MAX, and DATA_MIN.

EnvironmentalDistance::~EnvironmentalDistance ( )

Definition at line 124 of file environmental_distance.cpp.

References _cov_matrix, _cov_matrix_inv, _par_dist_type, and MahalanobisDistance.

Member Function Documentation

void EnvironmentalDistance::_calc_covariance_matrix ( ) [private]

Definition at line 308 of file environmental_distance.cpp.

References _average_point, _cov_matrix, _cov_matrix_inv, _layer_count, _presence_count, _presence_points, Log::error(), and Log::instance().

Referenced by _init_distance_type(), and _setConfiguration().

Here is the call graph for this function:

Scalar EnvironmentalDistance::_distance	(	const Sample &	x,
		const Sample &	y
	)		const `[inline, private]`

Definition at line 352 of file environmental_distance.cpp.

References _layer_count, _par_dist_type, _use_chisq, ChebyshevDistance, EuclideanDistance, MahalanobisDistance, ManhattanDistance, and Sample::norm().

Referenced by _init_distance_type(), and getValue().

Here is the call graph for this function:

void EnvironmentalDistance::_getConfiguration ( ConfigurationPtr & config ) const [protected, virtual]

Reimplemented from AlgorithmImpl.

Definition at line 559 of file environmental_distance.cpp.

References _average_point, _done, _par_dist, and _presence_points.

bool EnvironmentalDistance::_init_distance_type ( ) [private]

Definition at line 418 of file environmental_distance.cpp.

References _calc_covariance_matrix(), _distance(), _layer_count, _par_dist, _par_dist_type, _use_chisq, ChebyshevDistance, DATA_MAX, DATA_MIN, EuclideanDistance, Log::info(), Log::instance(), MahalanobisDistance, ManhattanDistance, PARDISTMAX, PARDISTMIN, and Sample::resize().

Referenced by initialize().

Here is the call graph for this function:

Scalar EnvironmentalDistance::_pochisq	(	Scalar	x,
		int	df
	)		const `[private]`

Compute probability of chi square value for the result not being due to chance. Code based on a C implementation in the public domain written by Gary Perlman from the Wang Institute, Tyngsboro, MA: http://www.stat.uchicago.edu/~mcpeek/software/CCQLSpackage1.3/chisq.c Original notes: Adapted from: Hill, I. D. and Pike, M. C. Algorithm 299 Collected Algorithms for the CACM 1967 p. 243 Updated for rounding errors based on remark in ACM TOMS June 1985, page 185

Parameters:

x	obtained chi-square value
df	degrees of freedom (number of environmental variables - 1)

Returns:: probability of chi square value.

Definition at line 519 of file environmental_distance.cpp.

References _poz(), BIGX, ex, I_SQRT_PI, and LOG_SQRT_PI.

Referenced by getValue().

Here is the call graph for this function:

Scalar EnvironmentalDistance::_poz ( Scalar z ) const [private]

Compute probability of probability of normal z value. Code based on a C implementation in the public domain written by Gary Perlman from the Wang Institute, Tyngsboro, MA: http://www.stat.uchicago.edu/~mcpeek/software/CCQLSpackage1.3/z.c Original notes: Adapted from a polynomial approximation in: Ibbetson D, Algorithm 209 Collected Algorithms of the CACM 1963 p. 616 This routine has six digit accuracy, so it is only useful for absolute z values < 6. For z values >= to 6.0, poz() returns 0.0

Parameters: