lerfob.predictor.dopalep

Class DopalepDbhIncrementPredictor

java.lang.Object

repicea.simulation.SensitivityAnalysisParameter<ModelParameterEstimates>

repicea.simulation.REpiceaPredictor

lerfob.predictor.dopalep.DopalepDbhIncrementPredictor

All Implemented Interfaces:

java.io.Serializable, GrowthModel<DopalepPlot,DopalepTree>

public class DopalepDbhIncrementPredictor
extends REpiceaPredictor
implements GrowthModel<DopalepPlot,DopalepTree>

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class repicea.simulation.REpiceaPredictor

REpiceaPredictor.CruiseLine, REpiceaPredictor.ErrorTermGroup, REpiceaPredictor.IntervalNestedInPlotDefinition

Field Summary

Fields inherited from class repicea.simulation.REpiceaPredictor

DefaultZeroIndex, isRandomEffectsVariabilityEnabled, isResidualVariabilityEnabled, listeners, oXVector

Fields inherited from class repicea.simulation.SensitivityAnalysisParameter

isParametersVariabilityEnabled

Constructor Summary

Constructors

Constructor and Description
DopalepDbhIncrementPredictor(boolean isParametersVariabilityEnabled, boolean isRandomEffectsVariabilityEnabled, boolean isResidualVariabilityEnabled)

Method Summary

Modifier and Type	Method and Description
protected double	getFixedEffectOnlyPrediction(DopalepPlot stand, DopalepTree tree)
protected void	init() This method reads all the parameters in .csv files and stores the estimates into members defaultBeta, defaultResidualError, and defaultRandomEffects.
static void	main(java.lang.String[] args)
double	predictGrowth(DopalepPlot stand, DopalepTree tree, java.lang.Object... parms) This method returns the growth of a particular tree represented by the parameter "tree".

Methods inherited from class repicea.simulation.REpiceaPredictor

addModelBasedSimulatorListener, doBlupsExistForThisSubject, doesThisSubjectHaveResidualErrorTerm, doRandomDeviatesExistForThisSubject, fireModelBasedSimulatorEvent, fireRandomEffectDeviateGeneratedEvent, getBlupsForThisSubject, getCruiseLineForThisSubject, getDefaultRandomEffects, getDefaultRandomEffects, getDefaultResidualError, getGaussianErrorTerms, getIntervalNestedInPlotDefinition, getParametersForThisRealization, getRandomEffectsForThisSubject, getResidualError, getResidualErrorForThisSubject, getSubjectPlusMonteCarloSpecificId, getSubjectPlusMonteCarloSpecificId, hasSubjectBeenTestedForBlups, recordSubjectTestedForBlups, removeModelBasedSimulatorListener, setBlupsForThisSubject, setDefaultRandomEffects, setDefaultResidualError, setDeviatesForRandomEffectsOfThisSubject, setParameterEstimates, simulateDeviatesForRandomEffectsOfThisSubject

Methods inherited from class repicea.simulation.SensitivityAnalysisParameter

getParameterEstimates

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DopalepDbhIncrementPredictor

public DopalepDbhIncrementPredictor(boolean isParametersVariabilityEnabled,
                                    boolean isRandomEffectsVariabilityEnabled,
                                    boolean isResidualVariabilityEnabled)

Method Detail

init

protected void init()

Description copied from class: REpiceaPredictor

This method reads all the parameters in .csv files and stores the estimates into members defaultBeta, defaultResidualError, and defaultRandomEffects.

Specified by:

init in class REpiceaPredictor

main

public static void main(java.lang.String[] args)

predictGrowth

public double predictGrowth(DopalepPlot stand,
                            DopalepTree tree,
                            java.lang.Object... parms)

Description copied from interface: GrowthModel

This method returns the growth of a particular tree represented by the parameter "tree".

Specified by:

predictGrowth in interface GrowthModel<DopalepPlot,DopalepTree>

Parameters:

stand - a S-derived instance

tree - a T-derived instance

parms - some additional parameters

Returns:

the growth

getFixedEffectOnlyPrediction

protected double getFixedEffectOnlyPrediction(DopalepPlot stand,
                                              DopalepTree tree)