References#
Collection protocols and previous studies in Switzerland#
Guidance on Monitoring of Marine Litter in European Seas, Galgani et all, EUR 26113. Luxembourg (Luxembourg): Publications Office of the European Union; 2013. JRC83985 https://publications.jrc.ec.europa.eu/repository/handle/JRC83985
Guidance on the Monitoring of Marine Litter in European Seas An update to improve the harmonised monitoring of marine litter under the Marine Strategy Framework Directive, Galgani et all., EUR 31539 EN, Publications Office of the European Union, Luxembourg, 2023, ISBN 978-92- 68-04093-5, doi:10.2760/59137, JRC133594 https://literatur.thuenen.de/digbib_extern/dn067364.pdf
A European threshold value and assessment method for macro litter on coastlines, Publications Office of the European Union, Van Loon, et all , https://publications.jrc.ec.europa.eu/repository/handle/JRC121707, ISBN 978-92-76-21444-1, doi:10.2760/54369, JRC121707.
Transfer of waste and plastics in aquatic environments, Christophe Brachet, International Netwwork of Basin Organizations, 2024, INBO
Revealing the role of land-use features on macrolitter distribution in Swiss freshwaters, Schreyers et al., 2022, Environmental Pollution Journal, https://doi.org/10.1016/j.envpol.2024.124911 article: sciencedirect
Des déchets aux abords des lacs et cours d’eau suisses, Office fédéral de l’environment, 2021, OFEV
Plastock: Estimation of plastics on the shores of Lake Geneva, switzerland, Pochelon et al., 2023, Plastock
Identification, quantification and analysis of observable anthropogenic litter along Swiss lake systems, Erismann et al., OFEV. 2021. IQAASL
Swiss Litter Report, Gabrielle, Kuhl; Pascal, Blahrer; 2018; Stopp research
Math and geospatial#
scipy: Fundamental Algorithms for Scientific Computing in Python, Virtanen et al, Nature Methods, 2020, doi: 10.1038/s41592-019-0686-2, scipy.
pandas, The pandas development team, Python software, 2020, doi: 10.5281/zenodo.3509134, url: https://doi.org/10.5281/zenodo.3509134.
Python 3 Reference Manual, Guido Van Rossum and Fred L. Drake, CreateSpace, 2009, isbn: 1441412697, python.
geopandas, Joris Van den Bossche et al, Python software, 2020, doi: 10.5281/zenodo.3509134, url: https://doi.org/10.5281/zenodo.3509134.
swissTLMRegio: Le modèle numérique de la Suisse à petite échelle, Swiss Federal office of topography, swiss topo
MyST: Markedly Structured Text, Executable Book Project, 2021, https://myst-parser.readthedocs.io/en/latest/
scikit-learn: Machine Learning in python, Pedregosa et al, Journal of Machine Learning Research, 2011, doi: 10.1109/MCSE.2007.55, scikit-learn.
Matplotlib: A 2D graphics environment, Hunter, J. D., Computing in Science & Engineering, 2007, doi: 10.1109/MCSE.2007.55, matplotlib.
Bayesian Data Analysis - Third edition, Andrew Gelman, Columbia university, 2021, http://www.stat.columbia.edu/~gelman/book/BDA3.pdf, doi: 10.1201/b16018.
Think Bayes 2ed, Alan Downey, Green Tea Press, 2021, http://allendowney.github.io/ThinkBayes2/
Bayesian Methods for Hackers, Cameron Davidson-Pilon, Addison-Wesley Professional, 2021, https://github. com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers, doi: 10.5555/2851115
Probability Theory: The logic of science, Edwin Jaynes, Washington University, 2003, isbn: 0521592712. the logic of science