Mapping species abundance across the full-annual cycle presents a challenge, in that patterns of concentration and dispersion in abundance change throughout the year, making it difficult to define color bins that suit all seasons and accurately reflect the detail of abundance predictions. To address this, when mapping the relative abundance data, we recommend using quantile bins based on the underlying count distribution, adjusted according to the relative abundance distribution. To access pre-calculated bins for the full annual cycle use load_fac_map_parameters().

calc_bins(abundance, count)

Arguments

abundance

Raster object; eBird Status and Trends relative abundance data cube, or a subset of the data cube.

count

Raster object; eBird Status and Trends count data cube, or a subset of the data cube.

Value

A numeric vector defining the breaks of the relative abundance bins. In addition, the labels attribute of this vector provides the 5th, 50th, and 95th quantile of abundance, which can be used to label the bottom, middle, and top of a legend.

Examples

if (FALSE) {
# download example data
path <- ebirdst_download("example_data")
# or get the path if you already have the data downloaded
path <- get_species_path("example_data")

# abundance data
abd <- load_raster(path, "abundance")
# count data
cnt <- load_raster(path, "count")

# calculate bins for a single week for this example
bins <- calc_bins(abd, cnt)
}