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VocoMatcher: Match and deduplicate animal vocalizations in PAM studies

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vocomatcher

Lifecycle: experimental Codecov test coverage

The goal of vocomatcher is to assist with matching and deduplicating animal calls in microphone array based acoustic surveys.

R Version

The app has only been tested on R version 4.4.1 (2024-06-14).

Installation

You can install the development version of vocomatcher from GitHub with:

# install.packages("devtools")
devtools::install_github("jaytohe/ecostats-rshiny")

If you want to try vocomatcher with the example data provided under data/poc_spectro, there are two options:

Option 1

  1. git clone https://github.com/jaytohe/ecostats-rshiny.git
  2. Open up RStudio in the directory of the cloned repository
  3. Install the golem package
  4. Open dev/01_start.R and run it.
  5. Open dev/02_start.R and run it.
  6. Then in the terminal of RStudio, type golem::run_dev()
  7. This should launch the Shiny app on your browser.
  8. From Vocomatcher, in the Import CSVs screen, you can then navigate to the directory of the cloned repo and find the example data under data/poc_spectro.
  9. In said directory, mic.csv is the microphone location coordinates csv file, recordings.csv is the recorded calls csv.

Option 2

  1. Open up an R terminal and type:
# install.packages("devtools")
devtools::install_github("jaytohe/ecostats-rshiny")

This should install all the dependencies of vocomatcher and vocomatcher itself.

  1. Clone the repo (from a regular shell):

git clone https://github.com/jaytohe/ecostats-rshiny.git

  1. Back on the R terminal, run the Shiny app using: vocomatcher::run_app()

  2. Follow steps 8, 9 from Option 1.

Note: The example data is not real.

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VocoMatcher: Match and deduplicate animal vocalizations in PAM studies

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