merge_overlaps: Merge overlapping selections

In maRce10/ohun: Optimizing Acoustic Signal Detection

Merge overlapping selections

Description

merge_overlaps merges several overlapping selections into a single selection

Usage

merge_overlaps(X, pb = TRUE, cores = 1)

Arguments

X	Data frame or 'selection.table' (following the warbleR package format) with selections (start and end of the sound events). Must contained at least the following columns: "sound.files", "selec", "start" and "end".
pb	Logical argument to control progress bar. Default is TRUE.
cores	Numeric. Controls whether parallel computing is applied. It specifies the number of cores to be used. Default is 1 (i.e. no parallel computing).

Details

The function finds time-overlapping selection in reference tables and collapses them into a single selection. It can be useful to prepare reference tables to be used in an energy detection routine. In such cases overlapping selections are expected to be detected as a single sound. Therefore, merging them can be useful to prepare references in a format representing a more realistic expectation of how a perfect energy detection routine would look like.

Value

If any time-overlapping selection is found it returns a data frame in which overlapping selections are collapse into a single selection.

Author(s)

Marcelo Araya-Salas [e-mail])

References

Araya-Salas, M., Smith-Vidaurre, G., Chaverri, G., Brenes, J. C., Chirino, F., Elizondo-Calvo, J., & Rico-Guevara, A. 2022. ohun: an R package for diagnosing and optimizing automatic sound event detection. BioRxiv, 2022.12.13.520253. https://doi.org/10.1101/2022.12.13.520253

See Also

summarize_diagnostic, label_detection

Examples

{
  # load data
  data("lbh_reference")

  # nothing to merge
  merge_overlaps(lbh_reference)

  # create artificial overlapping selections
  lbh_ref2 <- rbind(as.data.frame(lbh_reference[c(3, 10), ]), lbh_reference[c(3, 10), ])

  lbh_ref2$selec <- seq_len(nrow(lbh_ref2))

  merge_overlaps(lbh_ref2)
}

maRce10/ohun documentation built on Oct. 25, 2024, 6:22 p.m.