fitLAD: Fit Leaf Angle Distribution (LAD) from two-parameters (mu,...

In LAD: Derive Leaf Angle Distribution (LAD) from Measured Leaf Inclination Angles

Fit Leaf Angle Distribution (LAD) from two-parameters (mu, nu) Beta distribution

Description

The function derives both the Leaf Angle Distribution (LAD) and the G-function from two-parameters (mu, nu) Beta distribution.

• The LAD function is fitted through a Beta distribution as recommended by Goel and Strebel (1984).

• The G-function is derived from LAD using the formula provided by Ross (1981) and reported as Equations 2-3 by Chianucci et al. (2018).

• The fitted LAD is also compared with six theoretical LAD distributions provided by de Wit (1965).

• The distribution type is then classified using a leaf inclination index Ross (1975) and reported as Equation 8 by Chianucci et al. (2018).

Arguments

mu	Numeric. The mu parameter of the Beta distribution.
nu	Numeric. The nu parameter of the Beta distribution.
plot	Logical. If set to TRUE, it plots the measured and theoretical LAD and G distributions. Default set to FALSE.

Value

A list of two elements:

• dataset: a dataframe with three columns indicating the measured LAD (pdf), the G-function (G), for view or inclination angle (theta).

• distribution: a vector containing the matched distribution type.

Examples

fitLAD(0.9,0.9) # uniform LAD distribution
fitLAD(2.8,1.18)# planophile LAD distribution
fitLAD(1.1,1.7, plot=TRUE)# spherical LAD distribution

LAD documentation built on July 9, 2023, 7:33 p.m.