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# __Analysis of animal acoustic signals in R__

## BOKU International Wildlife Lectures

&nbsp;

##### _Marcelo Araya-Salas PhD_

##### _Neuroscience Research Center_
##### _University of Costa Rica_

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## __Animal acoustic signals__

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## __Animal acoustic signals__

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## __Common research questions__

* How animal acoustic signals vary in space and time? why?

* What is their function?

* What socio-ecological factors favor the evolution of specific features?

* How the transmission properties of the environment have shaped signal structure?

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## __Acoustic analysis workflow__

<center><img src="images/bioacoustic_research_diagram.png" height="100%" width="800px"/></center>
  
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## __Why bioacoustics in R?__

- Improves reproducibility of research

- Allows conducting analyses that better fit our research questions and study systems

- Democratizes access to scientific resources

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## __Course outline__

- Tutorials with combinations of theoretical background, demonstrations and proofs of concept using R code and self-learning practices on their own acoustic data or supplied example data

- Additional practices and readings assigned after each session

- Research project split in assignments throughout the week

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## __Research project__

2 options:

1. Assess the geographic variation of a vocalization type (or any acoustic signal) in a single species
 
 1. Optimize an automatic detection routine for a highly stereotyped vocalization in a single species 
  
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## __Research project__

__Assess the geographic variation of a vocalization type (or any acoustic signal) in a single species__
 - Describe and quantify differences within and between individuals and populations
 - At least 30 recordings from 3 or more localities
 - At least 1 figure with spectrograms summarizing the observed variation
 - Turn in the analysis code along with a summary of findings

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## __Research project__

__Optimize an automatic detection routine for a highly stereotyped vocalization in a single species__

- Use template-based detection for finding the location in time of single-unit acoustic signal
  - Between 20-30 recordings from 3 or more localities
  - At least 1 figure with spectrograms summarizing signal structure
  - Report performance statistics of the optimized routine
  - Turn in the analysis code along with a summary of findings

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