data_final_cut_weights: An example of data_final_cut_weights
In MLFS: Machine Learning Forest Simulator
data_final_cut_weights R Documentation
An example of data_final_cut_weights
Description
Each species should have one weight that is multiplied with the probability of being harvested when final_cut is applied
Usage
data_final_cut_weights
Format
A data frame with 36 rows and 6 variables:
- species
species name as used in data_NFI
- step_1
final cut weight applied in step 1
- step_2
final cut weight applied in step 2
- step_3
final cut weight applied in step 3
- step_4
final cut weight applied in step 4
- step_5
final cut weight applied in step 5 and all subsequent steps
MLFS documentation built on Sept. 1, 2025, 9:08 a.m.
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| data_final_cut_weights | R Documentation |
An example of data_final_cut_weights
Description
Each species should have one weight that is multiplied with the probability of being harvested when final_cut is applied
Usage
data_final_cut_weights
Format
A data frame with 36 rows and 6 variables:
- species
species name as used in data_NFI
- step_1
final cut weight applied in step 1
- step_2
final cut weight applied in step 2
- step_3
final cut weight applied in step 3
- step_4
final cut weight applied in step 4
- step_5
final cut weight applied in step 5 and all subsequent steps
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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