lerfob.predictor.mathilde.diameterincrement

Class MathildeDiameterIncrementPredictor

java.lang.Object

repicea.simulation.SensitivityAnalysisParameter<ModelParameterEstimates>

repicea.simulation.REpiceaPredictor

lerfob.predictor.mathilde.diameterincrement.MathildeDiameterIncrementPredictor

All Implemented Interfaces:

java.io.Serializable, GrowthModel<MathildeDiameterIncrementStand,MathildeTree>, REpiceaPredictorListener

public final class MathildeDiameterIncrementPredictor
extends REpiceaPredictor
implements GrowthModel<MathildeDiameterIncrementStand,MathildeTree>, REpiceaPredictorListener

This class contains the diameter increment module of Mathilde growth simulator.

See Also:

Manso, R., Morneau, F., Ningre, F., and Fortin, M. 2015. Effect of climate and intra- and inter-specific competition on diameter increment in beech and oak stands. Forestry 88: 540-551, Serialized Form

Nested Class Summary

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

REpiceaPredictor.CruiseLine, REpiceaPredictor.ErrorTermGroup, REpiceaPredictor.IntervalNestedInPlotDefinition

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.Map<java.lang.Integer,lerfob.predictor.mathilde.diameterincrement.MathildeDiameterIncrementSubModule>	subModules

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
MathildeDiameterIncrementPredictor(boolean isVariabilityEnabled) The MathildeDiameterIncrementPredictor class implements the diameter increment model fitted with the LERFoB database.

Method Summary

Modifier and Type	Method and Description
protected double	getFixedEffectOnlyPrediction(MathildeDiameterIncrementStand stand, MathildeTree tree)
protected double	getFixedEffectOnlyPrediction(Matrix currentBeta, MathildeDiameterIncrementStand stand, MathildeTree tree)
protected void	init() This method reads all the parameters in .csv files and stores the estimates into members defaultBeta, defaultResidualError, and defaultRandomEffects.
void	modelBasedSimulatorDidThis(REpiceaPredictorEvent event)
double	predictGrowth(MathildeDiameterIncrementStand stand, MathildeTree tree, java.lang.Object... parms) This method returns the growth of a particular tree represented by the parameter "tree".
protected GaussianEstimate	setRandomEffectsAccordingToHeightDeviate(Estimate<? extends StandardGaussianDistribution> heightRandomEffect, Estimate<? extends StandardGaussianDistribution> diamIncRandomEffect, Matrix blupMean)

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

Field Detail

subModules

protected final java.util.Map<java.lang.Integer,lerfob.predictor.mathilde.diameterincrement.MathildeDiameterIncrementSubModule> subModules

Constructor Detail

MathildeDiameterIncrementPredictor

public MathildeDiameterIncrementPredictor(boolean isVariabilityEnabled)

The MathildeDiameterIncrementPredictor class implements the diameter increment model fitted with the LERFoB database.

Parameters:

isVariabilityEnabled - true to enable the stochastic mode

Method Detail

init

protected final 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

getFixedEffectOnlyPrediction

protected double getFixedEffectOnlyPrediction(MathildeDiameterIncrementStand stand,
                                              MathildeTree tree)

getFixedEffectOnlyPrediction

protected double getFixedEffectOnlyPrediction(Matrix currentBeta,
                                              MathildeDiameterIncrementStand stand,
                                              MathildeTree tree)

predictGrowth

public double predictGrowth(MathildeDiameterIncrementStand stand,
                            MathildeTree 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<MathildeDiameterIncrementStand,MathildeTree>

Parameters:

stand - a S-derived instance

tree - a T-derived instance

parms - some additional parameters

Returns:

the growth

modelBasedSimulatorDidThis

public void modelBasedSimulatorDidThis(REpiceaPredictorEvent event)

Specified by:

modelBasedSimulatorDidThis in interface REpiceaPredictorListener

setRandomEffectsAccordingToHeightDeviate

protected final GaussianEstimate setRandomEffectsAccordingToHeightDeviate(Estimate<? extends StandardGaussianDistribution> heightRandomEffect,
                                                                          Estimate<? extends StandardGaussianDistribution> diamIncRandomEffect,
                                                                          Matrix blupMean)