te::sa::SamplePointsGeneratorStratified Class Reference

Class to generate samples points using stratified strategy. More...

#include <SamplePointsGeneratorStratified.h>

Inheritance diagram for te::sa::SamplePointsGeneratorStratified:

Public Member Functions
void	execute ()
	Function to execute the kernel operation. More...
std::vector< std::string >	getClassNames ()
void	isProportionalToArea (bool isProp)
	SamplePointsGeneratorStratified ()
	Default constructor. More...
void	setEnvelope (te::gm::Envelope env)
void	setInputAttributeName (std::string attrName)
void	setInputDataSet (std::auto_ptr< te::da::DataSet > dataSet)
void	setNumberOfPoints (int nPoints)
void	setOutputDataSetName (std::string dataSetName)
void	setOutputDataSource (te::da::DataSourcePtr ds)
void	setSRID (int srid)
virtual	~SamplePointsGeneratorStratified ()
	Virtual destructor. More...

Protected Member Functions
void	createClassMap ()
virtual std::auto_ptr< te::da::DataSetType >	createDataSetType ()
virtual std::auto_ptr< te::mem::DataSet >	generateSamples (te::da::DataSetType *dsType)
te::gm::Point *	getPoint (const te::gm::Envelope *env)
te::gm::Point *	getPointInGeometry (te::gm::Geometry *g)
void	saveDataSet (te::mem::DataSet *dataSet, te::da::DataSetType *dsType)

Protected Attributes
std::string	m_attrName
	Attribute used to get from input data the selected attribute. More...
std::map< std::string, std::vector< te::gm::Geometry * > >	m_classMap
	Attribute with polygons for each class from input dataset. More...
std::auto_ptr< te::da::DataSet >	m_dataSet
	Attribute with input data. More...
boost::random::uniform_int_distribution	m_distInt
boost::random::uniform_real_distribution	m_distReal
te::da::DataSourcePtr	m_ds
	Pointer to the output datasource. More...
te::gm::Envelope	m_env
	Attribute used to restrict the area to generate the samples. More...
boost::random::mt19937	m_gen
int	m_nPoints
	Attribute used to define the number of points to be generated. More...
std::string	m_outputDataSetName
	Attribute that defines the output dataset name. More...
bool	m_propToArea
	Attribute used to indicate if the number of samples has to be proportional to the area. More...
int	m_srid
	Attribute with spatial reference information. More...
te::sa::SamplePointsGeneratorType	m_type
	Generator Type. More...

Detailed Description

Class to generate samples points using stratified strategy.

Definition at line 58 of file SamplePointsGeneratorStratified.h.

Constructor & Destructor Documentation

te::sa::SamplePointsGeneratorStratified::SamplePointsGeneratorStratified

(

)

Default constructor.

virtual te::sa::SamplePointsGeneratorStratified::~SamplePointsGeneratorStratified ( )

virtual

Virtual destructor.

Member Function Documentation

void te::sa::SamplePointsGeneratorStratified::createClassMap ( )

protected

Function used to create the class map

virtual std::auto_ptr<te::da::DataSetType> te::sa::SamplePointsGeneratorStratified::createDataSetType ( )

protectedvirtual

Function used to create the output dataset type

Implements te::sa::SamplePointsGeneratorAbstract.

void te::sa::SamplePointsGeneratorAbstract::execute ( )

inherited

Function to execute the kernel operation.

virtual std::auto_ptr<te::mem::DataSet> te::sa::SamplePointsGeneratorStratified::generateSamples ( te::da::DataSetType *  dsType )

protectedvirtual

Function used to create the output data

Implements te::sa::SamplePointsGeneratorAbstract.

std::vector<std::string> te::sa::SamplePointsGeneratorStratified::getClassNames

(

)

Function used to get the names for the generated classes

te::gm::Point* te::sa::SamplePointsGeneratorAbstract::getPoint ( const te::gm::Envelope *  env )

protectedinherited

Function used to generate a randon point inside a defined envelope

te::gm::Point* te::sa::SamplePointsGeneratorStratified::getPointInGeometry ( te::gm::Geometry *  g )

protected

Function used to generate a randon point inside a defined geometry

void te::sa::SamplePointsGeneratorStratified::isProportionalToArea

(

bool

isProp

)

Function used to set if the number of samples has to be proportional to the area

void te::sa::SamplePointsGeneratorAbstract::saveDataSet ( te::mem::DataSet *  dataSet, te::da::DataSetType *  dsType  )

protectedinherited

Function used to save the output dataset

void te::sa::SamplePointsGeneratorAbstract::setEnvelope ( te::gm::Envelope  env )

inherited

Function used to set the envelope parameter

void te::sa::SamplePointsGeneratorStratified::setInputAttributeName

(

std::string

attrName

)

Function used to set attribute from input data selected to generate the samples

void te::sa::SamplePointsGeneratorStratified::setInputDataSet

(

std::auto_ptr< te::da::DataSet >

dataSet

)

Function used to set the input dataset

void te::sa::SamplePointsGeneratorStratified::setNumberOfPoints

(

int

nPoints

)

Function used to set the number of points to be generated

void te::sa::SamplePointsGeneratorAbstract::setOutputDataSetName ( std::string  dataSetName )

inherited

Function used to set the output dataset name parameter

void te::sa::SamplePointsGeneratorAbstract::setOutputDataSource ( te::da::DataSourcePtr  ds )

inherited

Function used to set the output data source parameter

void te::sa::SamplePointsGeneratorAbstract::setSRID ( int  srid )

inherited

Function used to set the envelope parameter

Member Data Documentation

std::string te::sa::SamplePointsGeneratorStratified::m_attrName

protected

Attribute used to get from input data the selected attribute.

Definition at line 105 of file SamplePointsGeneratorStratified.h.

std::map<std::string, std::vector<te::gm::Geometry*> > te::sa::SamplePointsGeneratorStratified::m_classMap

protected

Attribute with polygons for each class from input dataset.

Definition at line 109 of file SamplePointsGeneratorStratified.h.

std::auto_ptr<te::da::DataSet> te::sa::SamplePointsGeneratorStratified::m_dataSet

protected

Attribute with input data.

Definition at line 103 of file SamplePointsGeneratorStratified.h.

boost::random::uniform_int_distribution te::sa::SamplePointsGeneratorStratified::m_distInt

protected

Definition at line 111 of file SamplePointsGeneratorStratified.h.

boost::random::uniform_real_distribution te::sa::SamplePointsGeneratorAbstract::m_distReal

protectedinherited

Definition at line 114 of file SamplePointsGeneratorAbstract.h.

te::da::DataSourcePtr te::sa::SamplePointsGeneratorAbstract::m_ds

protectedinherited

Pointer to the output datasource.

Definition at line 106 of file SamplePointsGeneratorAbstract.h.

te::gm::Envelope te::sa::SamplePointsGeneratorAbstract::m_env

protectedinherited

Attribute used to restrict the area to generate the samples.

Definition at line 104 of file SamplePointsGeneratorAbstract.h.

boost::random::mt19937 te::sa::SamplePointsGeneratorAbstract::m_gen

protectedinherited

Definition at line 112 of file SamplePointsGeneratorAbstract.h.

int te::sa::SamplePointsGeneratorStratified::m_nPoints

protected

Attribute used to define the number of points to be generated.

Definition at line 101 of file SamplePointsGeneratorStratified.h.

std::string te::sa::SamplePointsGeneratorAbstract::m_outputDataSetName

protectedinherited

Attribute that defines the output dataset name.

Definition at line 108 of file SamplePointsGeneratorAbstract.h.

bool te::sa::SamplePointsGeneratorStratified::m_propToArea

protected

Attribute used to indicate if the number of samples has to be proportional to the area.

Definition at line 107 of file SamplePointsGeneratorStratified.h.

int te::sa::SamplePointsGeneratorAbstract::m_srid

protectedinherited

Attribute with spatial reference information.

Definition at line 102 of file SamplePointsGeneratorAbstract.h.

te::sa::SamplePointsGeneratorType te::sa::SamplePointsGeneratorAbstract::m_type

protectedinherited

Generator Type.

Definition at line 110 of file SamplePointsGeneratorAbstract.h.

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

• /home/castejon/castejon_files/develop/terralib5/git_master/src/terralib/sa/core/SamplePointsGeneratorStratified.h