max_size_data

This is simulated max_size_data and used for examples in mortality sub model

datasets

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

max_size_data function

A data frame with 36 rows and 2 variables:<dl>
 <dt>species</dt>
<dd>species name</dd> <dt>BA_max</dt>
<dd>The maximum allowed basal area (BA) for each individual species</dd>
</dl>

Format

An example of data with maximum allowed BA that is used in the mortality
sub model — max_size_data

A data frame with 36 rows and 2 variables:<dl>
 <dt>species</dt>
<dd>species name</dd>

 <dt>BA_max</dt>
<dd>The maximum allowed basal area (BA) for each individual species</dd>


</dl>

max_size_data: An example of data with maximum allowed BA that is used in the mortality sub model

Description

Usage

Arguments

Format