summaryByPlot: Summarise by plot the posterior distribution of AGB values

In BIOMASS: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests

Summarise by plot the posterior distribution of AGB values

Description

This function summarizes the matrix AGB_val given by the function AGBmonteCarlo() by plot.

Usage

summaryByPlot(AGB_val, plot, drawPlot = FALSE)

Arguments

AGB_val	Matrix resulting from the AGBmonteCarlo() function (AGB_val element of the list), or just the output of the AGBmonteCarlo() function.
plot	Vector corresponding to the plots code (plots ID)
drawPlot	A logic indicating whether the graphic should be displayed or not

Details

If some trees belong to an unknown plot (i.e. NA value in the plot arguments), their AGB values are randomly assigned to a plot at each iteration of the AGB monte Carlo approach.

Value

a data frame where:

• plot: the code of the plot

• AGB: AGB value at the plot level

• Cred_2.5: the 2.5\

• Cred_97.5: the 97.5\

Examples

# Load a database
data(NouraguesHD)
data(NouraguesTrees)

# Modelling height-diameter relationship
HDmodel <- modelHD(D = NouraguesHD$D, H = NouraguesHD$H, method = "log2")

# Retrieving wood density values

  NouraguesWD <- getWoodDensity(NouraguesTrees$Genus, NouraguesTrees$Species,
                                stand = NouraguesTrees$plotId)


# Propagating errors

  resultMC <- AGBmonteCarlo(
    D = NouraguesTrees$D, WD = NouraguesWD$meanWD,
    errWD = NouraguesWD$sdWD, HDmodel = HDmodel )
  
  # The summary by plot
  summaryByPlot(AGB_val = resultMC$AGB_simu, plot = NouraguesTrees$Plot)

BIOMASS documentation built on April 3, 2025, 6:09 p.m.