libterralib-dev 4.3.0+dfsg.2-10 / usr / include / terralib / kernel / TeProxMatrixWeightsStrategy.h

/************************************************************************************
TerraLib - a library for developing GIS applications.
Copyright © 2001-2007 INPE and Tecgraf/PUC-Rio.

This code is part of the TerraLib library.
This library is free software; you can redistribute it and/or
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*************************************************************************************/
/*! \file TeProxMatrixWeightsStrategy.h
    \brief This file contains structures and definitions about weight strategies of proximity matrix 
*/


#ifndef TeProxMatrixWeightsStrategy_H
#define TeProxMatrixWeightsStrategy_H

#include "TeProxMatrixImplementation.h"
#include <vector>


struct TL_DLL TeProxMatrixWeightsParams
{
public:
	TeGPMWeightsStrategy		strategy_;
	bool						norm_;
	double						a_;
	double						b_;
	double						c_;
	double						factor_;
	double						dist_ratio_;
	double						max_local_dist_;

	TeProxMatrixWeightsParams(): 
		strategy_(TeNoWeightsStrategy), norm_(false), a_(1.), 
		b_(1.), c_(1.), factor_(1.), dist_ratio_(0.), max_local_dist_(0.)
		{}

	TeProxMatrixWeightsParams(bool norm, const TeGPMWeightsStrategy& type): 
		strategy_(type), norm_(norm), a_(1.), b_(1.), c_(1.), 
		factor_(1.), dist_ratio_(0.), max_local_dist_(0.)
		{}

	bool operator== (const TeProxMatrixWeightsParams& other) const
	{
		return ((strategy_==other.strategy_) && (norm_==other.norm_) &&
			(a_==other.a_) && (b_==other.b_) && (c_==other.c_) &&
			(factor_==other.factor_) && (dist_ratio_==other.dist_ratio_) &&
			(max_local_dist_==other.max_local_dist_));
	}
};


//! An abstract class to representate weight strategies of proximity matrix    
class TL_DLL TeProxMatrixWeightsStrategy  
{
protected:
	TeProxMatrixWeightsParams params_; 

	//! Constructor
	TeProxMatrixWeightsStrategy(bool norm = false, const TeGPMWeightsStrategy& type=TeNoWeightsStrategy ):
		params_(norm, type)
	 { }

public:
	//! Compute weigths
	virtual bool ComputeWeigths (TeProxMatrixImplementation* ) =0;

	//! Destructor
	virtual ~TeProxMatrixWeightsStrategy() {}

	//! Equal operator
	virtual bool operator== (const TeProxMatrixWeightsStrategy& w) const {return (params_==w.params_);}

	//! Returns the strategy to weigt the matrix
	TeProxMatrixWeightsParams& weightsParams() { return params_; }
};

//! A class to implement the no weight strategy of proximity matrix (i.e., all weights are 1, only indicating that a connection exists).
class TL_DLL TeProxMatrixNoWeightsStrategy : public TeProxMatrixWeightsStrategy
{
public:
	//! Constructor
	TeProxMatrixNoWeightsStrategy (bool norm = true) : TeProxMatrixWeightsStrategy(norm, TeNoWeightsStrategy)
	{ }

	//! Compute weigths
	virtual bool ComputeWeigths (TeProxMatrixImplementation* imp);

	//! Destructor
	~TeProxMatrixNoWeightsStrategy() {}
};


//! A class to implement the inverse distance weight strategy of proximity matrix; if network distances were computed, they can be also considered.
//! Formula: w = (a*1/dist_centroids + b*1/dist_to_net + c*1/dist_net_connection)*factor
//! These values can be normalized or not.
class TL_DLL TeProxMatrixInverseDistanceStrategy : public TeProxMatrixWeightsStrategy
{
public:
	//! Constructor
	TeProxMatrixInverseDistanceStrategy  (double a = 1.0, double b = 1.0, double c = 1.0, double factor = 1.0, bool norm = true) : 
	  TeProxMatrixWeightsStrategy (norm, TeInverseDistanceStrategy)
	{ params_.a_ = a; params_.b_ = b; params_.c_ = c; params_.factor_ = factor;}

	//! Compute weights
	virtual bool ComputeWeigths (TeProxMatrixImplementation* imp); 

	//! Destructor	
	~TeProxMatrixInverseDistanceStrategy() {}
};


//! A class to implement the inverse distance weight strategy of proximity matrix; if network distances were computed, they can be also considered.
//! Formula: w = (a*1/(dist_centroids)2 + b*1/(dist_to_net)2 + c*1/(dist_net_connection)2)*factor
//! These values can be normalized or not.
class TL_DLL TeProxMatrixSquaredInverseDistanceStrategy : public TeProxMatrixWeightsStrategy
{
public:
	//! Constructor
	TeProxMatrixSquaredInverseDistanceStrategy  (double a = 1.0, double b = 1.0, double c = 1.0, double factor = 1.0, bool norm = true) : 
	  TeProxMatrixWeightsStrategy (norm, TeSquaredInverseDistStrategy)
	{ params_.a_ = a; params_.b_ = b; params_.c_ = c; params_.factor_ = factor;}

	//! Compute weights
	virtual bool ComputeWeigths (TeProxMatrixImplementation* imp); 

	//! Destructor	
	~TeProxMatrixSquaredInverseDistanceStrategy() {}
};


//! A class to implement the connection strenght weight strategy of proximity matrix
//! If centroids distance is smaller them max_local_distance, w will be only the local distance inverse (multiplied by factor).
//! otherwise, it will be w = 1/(dist_ratio*dist_to_net + dist_net_connection)*factor.
class TL_DLL TeProxMatrixConnectionStrenghtStrategy : public TeProxMatrixWeightsStrategy
{
public:
	//! Constructor
	TeProxMatrixConnectionStrenghtStrategy  (double dist_ratio = 1.0, double max_local_distance = 0.0, double factor = 1.0, bool norm = true) 
		: TeProxMatrixWeightsStrategy (norm, TeConnectionStrenghtStrategy )
	{ 
		params_.dist_ratio_ = dist_ratio;
		params_.max_local_dist_ = max_local_distance;
		params_.factor_ = factor;
	}

	//! Compute weights
	virtual bool ComputeWeigths (TeProxMatrixImplementation* imp); 

	//! Destructor	
	~TeProxMatrixConnectionStrenghtStrategy() {}
};

#endif