Plot the predicted biomass density by year.

Plot the predicted biomass density by year.

map_density(
  predictions,
  save_prefix = file.path(getwd(), "density"),
  n_row = 1,
  n_col = 2,
  column_grep = "^est[2]*$",
  tile_size = c(2000, 2000)
)

Arguments

predictions

Output from stats::predict().

save_prefix

A string providing the desired prefix to use when saving the density plots. The default is to save them in the current working directory using the name "density[0-9]{2}.png". Obviously, the same outcome would result from just "density" but the use of file.path() in the default is present to provide an example for users who want to change the path to something other than their current directory.

n_row, n_col

Integers specifying the number of rows and columns for the faceted figures. The default is one row and two columns.

column_grep

A regular expression string that will be used to search the column names of predictions to find the column name that will be passed to ggplot2::geom_tile(ggplot2::aes(fill = )). The default results in either "est" or "est2" depending on if the model is a delta model or not.

tile_size

A vector of length two with numeric values specifying the tile width and height that will be passed to ggplot2::geom_tile(width, height).`

Value

A ggplot2/ggforce object is returned.

See also

• ggplot2::geom_tile() for how the raster is created

• ggforce::facet_wrap_paginate() for how the pages are created

• ggforce::n_pages() for how many pages the object has

Author

Chantel R. Wetzel