Synthetic percent-cover survey data — cover

A small, hand-crafted percent-cover survey for three plots, with species typical of chenopod shrubland at Fowlers Gap, NSW. Each row is one species' cover estimate in a plot (unlike synthetic_survey, where each row is a point-intercept hit), and non-plant categories are included. Used to show calculate_field_diversity() on survey data other than AusPlots, via species_col, exclude and abundance_col. The values are made up.

Usage

cover_survey

Format

A data frame with 15 rows and 3 columns:

plot_id: Character. Plot identifier.
species: Character. Species name, or a non-plant category ("Bare ground", "Litter").
cover_pct: Numeric. Percent cover of the species in the plot.

Source

Hand-crafted for package examples. See data-raw/cover_survey.R.

Examples

calculate_field_diversity(cover_survey,
                          aoi_cols = "plot_id",
                          species_col = "species",
                          exclude = c("Bare ground", "Litter"),
                          abundance_col = "cover_pct")$taxonomic_diversity
#>   plot_id species_richness shannon_diversity simpson_diversity pielou_evenness
#> 1  plot_A                4         1.3620209         0.7378512       0.9824904
#> 2  plot_B                3         0.5608217         0.2907986       0.5104820
#> 3  plot_C                2         0.5004024         0.3200000       0.7219281
#>   exp_shannon inv_simpson
#> 1    3.904075    3.814628
#> 2    1.752112    1.410037
#> 3    1.649385    1.470588