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soundscapeR

R-CMD-check code coverage Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.

Thomas Luypaert, Anderson S. Bueno, Tom Bradfer-Lawrence, Carlos A. Peres, Torbjørn Haugaasen

A package for soundscape diversity quantification using Hill numbers

Welcome to the soundscapeR R-package!

The goal of soundscapeR is to provide a standardized analytical pipeline for the computation, exploration, visualization, diversity quantification and comparison of soundscapes using Hill numbers. The package is designed to work with either continuous or regular-interval long-duration acoustic recordings, and can quantify the diversity of soundscapes using a range of different diversity types (richness, evenness & diversity), spatial scales (alpha, beta and gamma diversities), and spectro-temporal subsets.

If you are unfamiliar with the soundscapeR workflow, head on over to Luypaert et al. (2022) and take a look at the theoretical concepts. For an example of how the functions of the soundscapeR package can be used to elucidate ecological patterns, have a look at Luypaert et al. (2023).

Installation

For the moment, the soundscapeR package is still under development, and can therefore only be downloaded from GitHub. To download the development version of our package, please use the code provided below.

## Install from github

## install.packages("remotes") ## if needed

remotes::install_github("ThomasLuypaert/soundscapeR", build_vignettes = TRUE)

Workflow overview

A comprehensive introduction to soundscapeR and specific examples of package usage can be found at thomasluypaert.github.io/soundscapeR_vignette. For a sneak peak at the workflow and the associated functions, have a look at this figure:

Acknowledgements

We are thankful to Oliver Metcalf and Zuzana Burivalova for their input on the package.

Contribution

The package was developed and written by Thomas Luypaert with contributions from Anderson S. Bueno, Tom Bradfer-Lawrence, Carlos A. Peres and Torbjørn Haugaasen.

Citation

Luypaert et al. (2024). soundscapeR: an R-package for the exploration, visualization, diversity quantification and comparison of soundscapes.

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