A python library for analysing and visualising soundscape assessments.
Disclaimer: This module is still heavily in development, and might break what you're working on. It will also likely require a decent amount of troubleshooting at this stage. I promise bug fixes and cleaning up is coming!
For this under-development version, I suggest installing from source in the following way.
Create a suitable conda environment by downloading just the environment.yml file:
conda env create -f environment.yml
conda activate soundscapy-dev
Then, install soundscapy from the github source:
pip install git+https://github.com/MitchellAcoustics/Soundscapy@main
An example notebook which reproduces the figures used in our recent paper "How to analyse and represent quantitative soundscape data" is provided in the examples folder.
If you are using Soundscapy in your research, please help our scientific visibility by citing our work! Please include a citation to our accompanying paper:
Mitchell, A., Aletta, F., & Kang, J. (2022). How to analyse and represent quantitative soundscape data. JASA Express Letters, 2, 37201. https://doi.org/10.1121/10.0009794