plot_moran | R Documentation |
Plots the results of spatial autocorrelation tests for a variety of functions within the package. The x axis represents the Moran's I estimate, the y axis contains the values of the distance thresholds, the dot sizes represent the p-values of the Moran's I estimate, and the red dashed line represents the theoretical null value of the Moran's I estimate.
plot_moran( model, point.color = viridis::viridis( 100, option = "F", direction = -1 ), line.color = "gray30", option = 1, ncol = 1, verbose = TRUE )
model |
A model fitted with |
point.color |
Colors of the plotted points. Can be a single color name (e.g. "red4"), a character vector with hexadecimal codes (e.g. "#440154FF" "#21908CFF" "#FDE725FF"), or function generating a palette (e.g. |
line.color |
Character string, color of the line produced by |
option |
Integer, type of plot. If |
ncol |
Number of columns of the plot. Only relevant when |
verbose |
Logical, if |
A ggplot.
moran()
, moran_multithreshold()
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 = c(0, 1000, 2000), n.cores = 1, verbose = FALSE ) #Incremental/multiscale Moran's I plot_moran(rf.model) #Moran's scatterplot plot_moran(rf.model, option = 2) }
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