Package: MLFS 0.4.2
MLFS: Machine Learning Forest Simulator
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>.
Authors:
MLFS_0.4.2.tar.gz
MLFS_0.4.2.zip(r-4.5)MLFS_0.4.2.zip(r-4.4)MLFS_0.4.2.zip(r-4.3)
MLFS_0.4.2.tgz(r-4.4-any)MLFS_0.4.2.tgz(r-4.3-any)
MLFS_0.4.2.tar.gz(r-4.5-noble)MLFS_0.4.2.tar.gz(r-4.4-noble)
MLFS_0.4.2.tgz(r-4.4-emscripten)MLFS_0.4.2.tgz(r-4.3-emscripten)
MLFS.pdf |MLFS.html✨
MLFS/json (API)
NEWS
# Install 'MLFS' in R: |
install.packages('MLFS', repos = c('https://jernejjevsenak.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jernejjevsenak/mlfs/issues
- data_BAI - An example of joined national forest inventory data, site descriptors, and climate data that is used as a fitting data frame for BAI sub model
- data_NFI - An example of national forest inventory data
- data_climate - An example of climate data
- data_final_cut_weights - An example of data_final_cut_weights
- data_ingrowth - An example of data_ingrowth suitable for the MLFS
- data_mortality - An example of joined national forest inventory data, site descriptors, and climate data that is used as a fitting data frame for mortality sub model
- data_site - An example of site descriptors
- data_tariffs - An example of table with one-parametric volume functions
- data_thinning_weights - An example of data_thinning_weights
- data_tree_heights - An example of data with individual tree and crown heights that can be used as a fitting data frame for predicting tree and crown heights in MLFS
- data_v1 - An example of joined national forest inventory and site data that is used within the MLFS
- data_v2 - An example of joined national forest inventory and site data that is used within the MLFS
- data_v3 - An example of joined national forest inventory and site data that is used within the MLFS
- data_v4 - An example of joined national forest inventory and site data that is used within the MLFS
- data_v5 - An example of joined national forest inventory and site data that is used within the MLFS
- data_v6 - An example of joined national forest inventory and site data that is used within the MLFS
- df_volume_parameters - An example table with parameters and equations for n-parametric volume functions
- form_factors - An example table with form factors used to calculate tree volume
- ingrowth_parameter_list - An example data of ingrowth_parameter_list
- ingrowth_table - An example data of ingrowth_table
- max_size_data - An example of data with maximum allowed BA that is used in the mortality sub model
- measurement_thresholds - An example of measurement_thresholds table
Last updated 3 years agofrom:44437dc01d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win | OK | Nov 04 2024 |
R-4.5-linux | OK | Nov 04 2024 |
R-4.4-win | OK | Nov 04 2024 |
R-4.4-mac | OK | Nov 04 2024 |
R-4.3-win | OK | Nov 04 2024 |
R-4.3-mac | OK | Nov 04 2024 |
Exports:add_stand_variablesadd_stand_variables_halfPeriodBAI_predictionBAI_prediction_halfPeriodcalculate_BALcalculate_BAL_halfPeriodcrownHeight_predictioncrownHeight_prediction_halfPeriodheight_predictionheight_prediction_halfPeriodMLFSpredict_ingrowthpredict_mortalitysimulate_harvestingtransform_datavolume_form_factorsvolume_form_factors_halfPeriodvolume_functionsvolume_functions_halfPeriodvolume_merchantablevolume_merchantable_halfPeriodvolume_tariffsvolume_tariffs_halfPeriodvolume_whole_treevolume_whole_tree_halfPeriod
Dependencies:brnnclicpp11dplyrfansiFormulagenericsgluelatticelifecyclemagrittrMASSMatrixnaivebayespillarpkgconfigplyrpsclpurrrR6rangerRcppRcppEigenreshape2rlangstringistringrtibbletidyrtidyselecttruncnormutf8vctrswithr