height_prediction_halfPeriod

data frame with data being used for model fit

df_fit

internal

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

height_prediction_halfPeriod function

<dl><dt>df_fit</dt>
<dd>data frame with data being used for model fit</dd></dl>

Arguments

height_prediction_halfPeriod — height_prediction_halfPeriod

<dl>

<dt>df_fit</dt>
<dd>data frame with data being used for model fit</dd>

</dl>

height_prediction_halfPeriod: height_prediction_halfPeriod

Description

Usage

Value

Arguments