| data_v4 {MLFS} | R Documentation |
An example of joined national forest inventory and site data that is used within the MLFS
Description
This is simulated data that reassemble the national forest inventory data. We use it to show how to run examples for predicting tree mortality. Mortality occurs in the middle of a simulation step, so all variables have the preposition 'mid'
Usage
data_v4
Format
A data frame with 6855 rows and 41 variables:
- year
year in which plot was visited
- plotID
a unique identifier for plot
- treeID
a unique identifier for tree
- speciesGroup
identifier for species group
- code
status of a tree: 0 (normal), 1(harvested), 2(dead), 3 (ingrowth)
- species
species name
- slope
slope on a plot
- elevation
plot elevation
- northness
plot northness, 1 is north, 0 is south
- siteIndex
a proxy for site index, higher value represents more productive sites
- p_sum
monthly precipitation sum
- t_avg
monthly mean temperature
- BA_mid
basal area of individual trees in m2 in the middle of a simulation step
- BAI_mid
basal area increment in the middle of a simulation step
- weight_mid
upscale weight to calculate hectare values in the middle of a simulation step
- height_mid
tree height in meters in the middle of a simulation step
- crownHeight_mid
crown height in meters in the middle of a simulation step
- volume_mid
tree volume in m3 in the middle of a simulation step
- BAL_mid
Basal Area in Large trees the middle of a simulation step
- stand_BA_mid
Total stand basal area the middle of a simulation step
- stand_n_mid
The number of trees in a stand the middle of a simulation step