References

Witt, M. J., & Godley, B. J. (2007). A step towards seascape scale conservation: using vessel monitoring systems (VMS) to map fishing activity. PLoS ONE, 2(10), e1111. https://doi.org/10.1371/journal.pone.0001111

Peel, D., & Good, N. M. (2011). A hidden Markov model approach for determining vessel activity from vessel monitoring system data. Canadian Journal of Fisheries and Aquatic Sciences, 68(7), 1252–1264. https://doi.org/10.1139/f2011-055

Samarão, J., Moreno, A., Gaspar, M. B., & Rufino, M. M. (2025). Improving machine learning predictions to estimate fishing effort using vessel's tracking data. Ecological Informatics, 85, 102953. https://doi.org/10.1016/j.ecoinf.2024.102953

Lattanzi, P., Vasapollo, C., Samarão, J., Galdelli, A., Mendo, T., Rufino, M., Bolognini, L., & Tassetti, A. N. (2026). Predicting fishing vs. not-fishing in small-scale fisheries: A sample vessel tracking dataset and a reproducible machine learning approach. SoftwareX, 34, 102579. https://doi.org/10.1016/j.softx.2026.102579

Mendo, T., Mujal-Colilles, A., Hjorleifsson, E., Lattanzi, P., Marsaglia, L., James, M., Rufino, M. M., Holah, H., Tully, O., Rodriguez-Gutierrez, J., Jonsson, P., Mugerza, E., Egekvist, J., Emery, T., Ladd-Jones, H., Course, G., Rodriguez, J., Mateo, M., von Dorrien, C., Carvalho, A. N., Tassetti, A. N., & Salvany, L. (2026). Towards a European small-scale fishing vessel tracking programme: Overview, challenges and opportunities. Marine Policy, 190, 107139. https://doi.org/10.1016/j.marpol.2026.107139