danby: Sample NFC Detections
In flightcallr: Classify Night Flight Calls Based on Acoustic Measurements
Description
Usage
Format
Examples
Description
This is a very small subset of the detections from a 2009 set of overnight recordings from Danby, NY, recorded by the Conservation Science department at the Cornell Lab of Ornithology.
Usage
1
Format
A data frame with 150 observations on the following 33 variables.
Begin.Time..s.a numeric vector
Detectora factor with levels Sparrow
Random.Percenta numeric vector
Event_Durationa numeric vector
Call_vs_Noisea factor with levels Call Noise
Rugositya numeric vector
Crest_Factora numeric vector
Temporal_Entropya numeric vector
Shannon_Entropya numeric vector
Shannon_Entropy_Bandlimiteda numeric vector
Spectral_Flatness_Measurea numeric vector
Spectral_Flatness_Measure_Bandlimiteda numeric vector
Spectrum_Roughnessa numeric vector
Spectrum_Roughness_Bandlimiteda numeric vector
Autocorrelation_Meana numeric vector
Autocorrelation_Mediana numeric vector
Autocorrelation_Standard_Errora numeric vector
Dominant_Frequency_Meana numeric vector
Dominant_Frequency_Standard_Errora numeric vector
Specprop_Meana numeric vector
Specprop_SDa numeric vector
Specprop_SEMa numeric vector
Specprop_Mediana numeric vector
Specprop_Modea numeric vector
Specprop_Q25a numeric vector
Specprop_Q75a numeric vector
Specprop_IQRa numeric vector
Specprop_Centa numeric vector
Specprop_Skewnessa numeric vector
Specprop_Kurtosisa numeric vector
Specprop_SFMa numeric vector
Specprop_SHa numeric vector
Detector_numerica numeric vector
Examples
1
2
flightcallr documentation built on May 2, 2019, 5:49 p.m.
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Description Usage Format Examples
Description
This is a very small subset of the detections from a 2009 set of overnight recordings from Danby, NY, recorded by the Conservation Science department at the Cornell Lab of Ornithology.
Usage
1 |
Format
A data frame with 150 observations on the following 33 variables.
Begin.Time..s.a numeric vector
Detectora factor with levels
SparrowRandom.Percenta numeric vector
Event_Durationa numeric vector
Call_vs_Noisea factor with levels
CallNoiseRugositya numeric vector
Crest_Factora numeric vector
Temporal_Entropya numeric vector
Shannon_Entropya numeric vector
Shannon_Entropy_Bandlimiteda numeric vector
Spectral_Flatness_Measurea numeric vector
Spectral_Flatness_Measure_Bandlimiteda numeric vector
Spectrum_Roughnessa numeric vector
Spectrum_Roughness_Bandlimiteda numeric vector
Autocorrelation_Meana numeric vector
Autocorrelation_Mediana numeric vector
Autocorrelation_Standard_Errora numeric vector
Dominant_Frequency_Meana numeric vector
Dominant_Frequency_Standard_Errora numeric vector
Specprop_Meana numeric vector
Specprop_SDa numeric vector
Specprop_SEMa numeric vector
Specprop_Mediana numeric vector
Specprop_Modea numeric vector
Specprop_Q25a numeric vector
Specprop_Q75a numeric vector
Specprop_IQRa numeric vector
Specprop_Centa numeric vector
Specprop_Skewnessa numeric vector
Specprop_Kurtosisa numeric vector
Specprop_SFMa numeric vector
Specprop_SHa numeric vector
Detector_numerica numeric vector
Examples
1 2 |
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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