Multi-Index Motif Classification for Soundscapes in R.
Welcome! This package is under active development and is not complete. Check back soon for updates; a working alpha is planned to release by the end of 2022 😀. This package is an implementation of the methods provided by Scarpelli et al. 2021, which is published in Frontiers in Ecology and Evolution. In the mean time, you can find the original analysis scripts here.
This package is designed to provide a complete analysis pipeline to get you from sound files, all the way to classified acoustic motifs. Alongside the core functionality of the package, there will be several helper functions to streamline your analysis process:
- Calling AnalysisPrograms from R to generate acoustic indices
- Helper functions to integrate with A2O
- Download audio and format metadata for use in the MIMiCS pipeline
- Helper functions to use EMU from R
- EMU can identify issues in audio files such as corrupt metadata, and repair those issues if necessary
- Generate helpful audio summary statistics and sensor location maps
- The original research article: Marina D. A. Scarpelli, Benoit Liquet, David Tucker, Susan Fuller and Paul Roe
- R scripts: Marina Scarpelli, Anthony Truskinger, Benoit Liquet
- MIMiCS pacakge: Andrew Schwenke
- HIME (HierarchIcal based Motif Enumeration)
If you have questions, issues, feature requests, or simply want to learn more, please don't hesitate to get in contact. You can raise a GitHub issue directly on this repository, or get in touch with myself or Marina Scarpelli via email:
- Marina D. A. Scarpelli, ninascarpelli@gmail.com
- Andrew Schwenke, andrew.schwenke@gmail.com