seewave (version 1.7.0)

ACI: Acoustic Complexity Index

Description

This function computes the Acoustic Complexity Index (ACI) as described in Pieretti et al. (2011)

Usage

ACI(wave, f, wl = 512, ovlp = 0,  wn = "hamming", flim = NULL, nbwindows = 1)

Value

• A vector of length 1 returning the ACI total.

Details

The function computes first a short-term Fourier transform and then the ACI index. The function returns only the ACI total, ACI tot in Pieretti et al. (2010). See the references for details on computation.

References

Pieretti N, Farina A, Morri FD (2011) A new methodology to infer the singing activity of an avian community: the Acoustic Complexity Index (ACI). Ecological Indicators, 11, 868-873. Farina A, Pieretti N, Piccioli L (2011) The soundscape methodology for long-term bird monitoring: a Mediterranean Europe case-study. Ecological Informatics, 6, 354-363.

See Also

spectro

Examples

data(tico)
ACI(tico)
## dividing the sound sample into 4 windows of equal duration
ACI(tico, nbwindows=4)
## selection of a frequency band
ACI(tico, flim=c(2,6))