Plot a creel survey design

Produces a quick visual summary of a creel_design object:

• Without counts attached (design$counts is NULL): a bar chart showing the number of sampled days per stratum.

• With counts attached: a jitter + crossbar chart showing the distribution of count values per stratum.

Both variants colour bars/points by stratum for easy differentiation.

Usage

plot_design(design, title = NULL, ...)

Arguments

design

A creel_design object created by creel_design().

title

Optional character title. Defaults to "Creel Design Summary" (no counts) or "Count Distribution by Stratum" (with counts).

...

Additional arguments (currently ignored).

Value

A ggplot object.

See also

creel_design(), autoplot.creel_schedule()

Other "Visualisation": autoplot.creel_estimates(), autoplot.creel_length_distribution(), autoplot.creel_schedule(), creel_palette(), theme_creel()

Examples

if (FALSE) { # \dontrun{
# Without counts — stratum sample sizes
cal <- data.frame(
  date = as.Date(c(
    "2024-06-01", "2024-06-02", "2024-06-08", "2024-06-09"
  )),
  day_type = c("weekday", "weekday", "weekend", "weekend")
)
design <- creel_design(cal, date = date, strata = day_type)
plot_design(design)

# With counts — count distribution per stratum
design_with_counts <- add_counts(design, counts_df)
plot_design(design_with_counts)
} # }