plot_detection: Plot detection and reference annotations

In maRce10/ohun: Optimizing Acoustic Signal Detection

Plot detection and reference annotations

Description

plot_detection evaluates the performance of a sound event detection procedure comparing the output selection table to a reference selection table

Usage

plot_detection(reference, detection, mid.point = FALSE, size = 20, positions = c(1, 2))

Arguments

reference	Data frame or 'selection.table' (following the warbleR package format) with the reference selections (start and end of the sound events) that will be used to evaluate the performance of the detection, represented by those selections in 'detection'. Must contained at least the following columns: "sound.files", "selec", "start" and "end". It must contain the reference selections that will be used for detection optimization.
detection	Data frame or 'selection.table' with the detections (start and end of the sound events) that will be compared against the 'reference' selections. Must contained at least the following columns: "sound.files", "selec", "start" and "end". It can contain data for additional sound files not found in 'references'. In this case the routine assumes that no sound events are found in those files, so detection from those files are all false positives.
mid.point	Logical argument to control if each annotations is shown as a rectangle with fix width center at the mid point of the time position (if TRUE) or the true time range of the annotations is used (if FALSE, default). 'mid.point' can be useful to make visible annotations in very long sound files that would otherwise look to thin.
size	Numeric. Controls the size of the rectangles if mid.point = TRUE. Default is 20.
positions	Numeric. Controls the vertical position of the rectangles representing anotations. Default is c(1, 2). This can be used to get reference and detection annotations closer in the vertical axis. Note that the height of rectangles is 0.5.

Details

The function helps to visualize the match between reference and detection annotations by plotting them next to each other as rectangles along the time axis. If the annotations contain data for several sound files each sound file will be plotted in its own panel. The plot can be further modify by users using regular ggplot syntax.

Value

A ggplot graph (i.e. an object of class "ggplot").

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

label_spectro, diagnose_detection

Examples

{
  # load data
  data("lbh_reference")

  # mid point and regular size
  plot_detection(
    reference = lbh_reference[-14, ],
    detection = lbh_reference[-1, ], mid.point = TRUE
  )

  # mid point and larger size
  plot_detection(
    reference = lbh_reference[-14, ],
    detection = lbh_reference[-1, ], mid.point = TRUE, size = 25
  )

  # true time rectangles
  plot_detection(
    reference = lbh_reference[-14, ],
    detection = lbh_reference[-1, ]
  )

  # use position to make reference and anotations overlap vertically
  plot_detection(
    reference = lbh_reference[-14, ],
    detection = lbh_reference[-1, ], positions = c(1, 1.4)
  )

  # modified using ggplot
  gg_pd <- plot_detection(
    reference = lbh_reference[-14, ],
    detection = lbh_reference[-1, ], positions = c(1, 1.4)
  )

  gg_pd + ggplot2::theme_classic(base_size = 25)
}

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