Our project aims to provide an accessible and engaging way for people to quickly visualize animal tracking data from MoveBank, an open-source animal tracking database. It is Python-based and can be imported as a package for the user to run in a Jupyter notebook.
Tracks from the database are shown on top of an interactive world map, with the ability to view and toggle multiple tracks (if available), and additional information about the animal is sourced from Wikipedia and displayed.
To create the conda environment, run
conda create --name geoVis environment.yml
To activate it,
conda activate geoVis
The interactive code example is located in a Jupyter notebook, which runs on data by O'Mara, et. al from MoveBank. The notebook can be run with:
cd src/
jupyter notebook interactiveVisualizer.ipynb
To run nox locally, install nox (if needed) with conda install nox and in the main directory, run
nox -s tests
To run the pre-commit hook (for syntax checks for example), in the main directory, run
pre-commit run -a