BIOMASS (version 2.1.8)

param_4: Posterior distribution of Chave et al.'s 2014 equation 4 parameters

Description

This matrix contains the posterior distribution of the parameters of Equation 4 of Chave et al. (2014), obtained in a Bayesian framework with uninformative priors through a Metropolis algorithm.

Usage

data("param_4")

Format

A data frame with 1001 observations on the following 3 variables.

• intercept: Vector of intercept values

• logagbt: Vector of the model coefficients associated with the product wood density * diameter^2 * height

• sd: Vector of model residual standard error (RSE) values

Details

This dataset is used in the function AGBmonteCarlo().

References

Chave et al. (2014) Improved allometric models to estimate the aboveground biomass of tropical trees, Global Change Biology, 20 (10), 3177-3190

Examples

# NOT RUN {
data(param_4)
str(param_4)
# }