Machine Learning Forest Simulator
add_stand_variables
add_stand_variables_halfPeriod
BAI_prediction
BAI_prediction_halfPeriod
calculate_BAL
calculate_BAL_halfPeriod
crownHeight_prediction
crownHeight_prediction_halfPeriod
height_prediction
height_prediction_halfPeriod
MLFS
predict_ingrowth
predict_mortality
A sub model to simulate harvesting within the MLFS
transform_data
volume_form_factors
volume_form_factors_halfPeriod
volume_functions
volume_functions_halfPeriod
volume_merchantable
volume_merchantable_halfPeriod
volume_tariffs
volume_tariffs_halfPeriod
volume_whole_tree
volume_whole_tree_halfPeriod
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>.