Create ignorance scores

Source: R/exposeIgnorance.R

Ignorance scores are a proxy for the lack of sampling effort, computed by making the number of observations relative to a reference number of observations that is considered to be enough to reduce the ignorance score by half (henceforth the Half-ignorance approach). The algorithm behind the Ignorance Score is designed for comparison of bias and gaps in primary biodiversity data across taxonomy, time and space

exposeIgnorance(nObs, nSpp = NULL, h = 1)

Arguments

nObs

an object of any class (mainly resulting from summariseBirds or exportBirds with the number of observations, or visits in your desired analysis unit.
nSpp

the number of unique species observed
h

the half ignorance parameter value.

Value

a data.frame with ignorance scores

References

Ruete (2015) <doi:10.3897/BDJ.3.e5361>

See also

summarizeBirds, exportBirds

Examples

# \donttest{
OB <- organizeBirds(bombusObsShort, sppCol = "scientificName", simplifySppName = TRUE)
grid <- makeGrid(searchPolygon, gridSize = 10)
SB <- summariseBirds(OB, grid=grid)
ignorance <- exposeIgnorance(nObs=SB$spatial$nObs)
# }