Visualize results — plotting • CAVAanalytics

Automatically plot results from CAVAanalytics main functions

Usage

plotting(
  rst,
  palette,
  legend_range,
  plot_titles,
  ensemble,
  bins,
  intervals,
  alpha,
  spatiotemporal,
  temporal,
  lwd,
  ...
)

rst: output of one of CAVAanalytics functions, such as projections. rst is of class SpatRaster
palette: charachter. Color Palette. Default to NULL
legend_range: numeric. Fix legend limits. Default to NULL
plot_titles: character. Title of the plot legend. Default to default
ensemble: logical. Whether to visualize the ensemble mean or each individual model. Default to TRUE
bins: logical. Whether to visualize colors as a gradient or in bins. Default to FALSE
intervals: numeric vector. Controlling the number of bins when bins equal TRUE
alpha: numeric. Transparency of colors. Default to NA
spatiotemporal: logical. Whether computed yearly data should be visualized without spatial and temporal aggregation. Basically, frequencies are visualized
temporal: logical. Whether computed yearly data should be visualized temporally after spatial aggregation (median of all pixels)
lwd: numerical. Width of country boundaries. Default to 0.1

ggplot object