Inversion of plant traits using ML models (Ensemble variant)

Inversion of plant traits using ML models (Ensemble variant)

Usage

hybrid_inversionE(
  LUT = NULL,
  input = NULL,
  split = 0.8,
  setseed = NULL,
  collinearity = NULL,
  pattern = NULL,
  Field.data = NULL,
  acron = NULL
)

Arguments

LUT

Dataset with inputs and Bands

input

variable to estimate

split

ratio between 0 and 1 for splitting the dataset in training and testing

setseed

set random number

collinearity

collinearity-and-stepwise-vif-selection or CARS method implemmented, options='VIF' and 'CARS'

pattern

Please indicate the number of bands with same pattern'B'.

Field.data

dataframe with observations

acron

acronynm for the observation measure: e.g., Cab_obsrv, where acron='_observ' and Cab has same name as input

Value

A list: model (the fitted ensemble model), Stats (accuracy statistics on the held-out test split), and Plot (a ggplot scatter of predicted vs. measured/simulated values for input).