A comparison of statistical methods for deriving occupancy estimates from machine learning outputs

Abstract The combination of autonomous recording units (ARUs) and machine learning enables scalable biodiversity monitoring. These data are often analysed using occupancy models, yet methods for integrating machine learning outputs with these models are rarely compared. Using the Yucatán black howle...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Lydia K. D. Katsis, Tessa A. Rhinehart, Elizabeth Dorgay, Emma E. Sanchez, Jake L. Snaddon, C. Patrick Doncaster, Justin Kitzes
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Nature Portfolio 2025-04-01
Σειρά:	Scientific Reports
Θέματα:	Acoustic monitoring Autonomous recording units (ARUs) Biodiversity monitoring Yucatán black howler monkey Occupancy modelling False-positive models
Διαθέσιμο Online:	https://doi.org/10.1038/s41598-025-95207-3
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