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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "MLFS" in publications use:'
type: software
license: GPL-3.0-only
title: 'MLFS: Machine Learning Forest Simulator'
version: 0.4.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.MLFS
abstract: '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) <https://doi.org/10.1016/j.foreco.2022.120017>,
  while the method for predicting basal area increments (BAI) was described by Jevšenak
  and Skudnik (2021) <https://doi.org/10.1016/j.foreco.2020.118601>.'
authors:
- family-names: Jevsenak
  given-names: Jernej
  email: jernej.jevsenak@gmail.com
preferred-citation:
  type: article
  title: 'MLFS R package: The simulations of future forests based on data-driven approach'
  authors:
  - family-names: J.
    given-names: Jevsenak
  - family-names: D.
    given-names: Arnic
  - family-names: L.
    given-names: Krajnc
  - family-names: M.
    given-names: Skudnik
  journal: Environmental Modelling & Software
  year: in preparation
repository: https://jernejjevsenak.r-universe.dev
commit: 44437dc01dbf07a83e4592162154521cf757b476
contact:
- family-names: Jevsenak
  given-names: Jernej
  email: jernej.jevsenak@gmail.com