Plots the results of an spatial cross-validation performed with rf_evaluate().

plot_evaluation(
  model,
  fill.color = viridis::viridis(
    3,
    option = "F",
    alpha = 0.8,
    direction = -1
    ),
  line.color = "gray30",
  verbose = TRUE,
  notch = TRUE
)

Arguments

model

A model resulting from rf_evaluate().

fill.color

Character vector with three hexadecimal codes (e.g. "#440154FF" "#21908CFF" "#FDE725FF"), or function generating a palette (e.g. viridis::viridis(3)). Default: viridis::viridis(3, option = "F", alpha = 0.8, direction = -1)

line.color

Character string, color of the line produced by ggplot2::geom_smooth(). Default: "gray30"

verbose

Logical, if TRUE the plot is printed. Default: TRUE

notch

Logical, if TRUE, boxplot notches are plotted. Default: TRUE

Value

A ggplot.

See also

Examples

if(interactive()){ #loading example data data(plant_richness_df) data(distance_matrix) #fitting a random forest model rf.model <- rf( data = plant_richness_df, dependent.variable.name = "richness_species_vascular", predictor.variable.names = colnames(plant_richness_df)[5:21], distance.matrix = distance_matrix, distance.thresholds = 0, n.cores = 1, verbose = FALSE ) #evaluating the model with spatial cross-validation rf.model <- rf_evaluate( model = rf.model, xy = plant_richness_df[, c("x", "y")], n.cores = 1 ) #plotting the evaluation results plot_evaluation(rf.model) }