add_stand_variables

a data frame with individual tree measurements that include basal
area and the upscale factors. All trees should also be described with plotID
and year variables

This function adds two variables to existing data frame of individual tree
measurements: 1) stand basal area and 2) the number of trees per hectare

Climate-sensitive forest simulator based on the principles of
machine learning. It stimulates all key processes in the forest: radial growth,
height growth, mortality, crown recession, regeneration and harvesting. The
method for predicting tree heights was described by Skudnik and Jevšenak
(2022) <doi:10.1016/j.foreco.2022.120017>, while the method for predicting
basal area increments (BAI) was described by Jevšenak and Skudnik (2021)
<doi:10.1016/j.foreco.2020.118601>.

Jernej Jevsenak

MLFS

Machine Learning Forest Simulator

add_stand_variables function

<dl><dt>df</dt>
<dd>a data frame with individual tree measurements that include basal
area and the upscale factors. All trees should also be described with plotID
and year variables</dd></dl>

Arguments

add_stand_variables — add_stand_variables

<dl>

<dt>df</dt>
<dd>a data frame with individual tree measurements that include basal
area and the upscale factors. All trees should also be described with plotID
and year variables</dd>

</dl>

add_stand_variables: add_stand_variables

Description

Usage

Value

Arguments

Examples