Abil: A Python package for the interpolation of aquatic biogeochemical datasets

Python Jupyter Notebook Submitted 23 May 2025 • Published 14 October 2025
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Editor: @crvernon (all papers)
Reviewers: @ruiying-ocean (all reviews), @althonos (all reviews)

Authors

Joost de Vries (0000-0003-3427-6921), Nicola A. Wiseman (0000-0001-9296-7566), Levi John Wolf (0000-0003-0274-599X)

Citation

de Vries et al., (2025). Abil: A Python package for the interpolation of aquatic biogeochemical datasets. Journal of Open Source Software, 10(114), 8755, https://doi.org/10.21105/joss.08755

@article{de Vries2025, doi = {10.21105/joss.08755}, url = {https://doi.org/10.21105/joss.08755}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {114}, pages = {8755}, author = {de Vries, Joost and Wiseman, Nicola A. and Wolf, Levi John}, title = {Abil: A Python package for the interpolation of aquatic biogeochemical datasets}, journal = {Journal of Open Source Software} }
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biogeochemistry ocean machine learning species distribution modelling plankton random forests XGBoost Bagged Nearest Neighbors ensemble-based machine learning zero-inflated regression area of applicability

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066