Division of Wildlife Conservation (DWC) Publication Details

Predicting moose behaviors from tri-axial accelerometer data using a supervised classification algorithm

• Reference: Kirchner, T. M., O. Devineau, M. Chimienti, D. P. Thompson, J. Crouse, A. L. Evans, B. Zimmermann, and A. Eriksen. 2023. Predicting moose behaviors from tri-axial accelerometer data using a supervised classification algorithm. Animal Biotelemetry 11, 32 (2023). https://doi.org/10.1186/s40317-023-00343-0
• Audiences: Scientist, Wildlife Manager
• Authors: Marianna Chimienti, John A. Crouse, Oliver Devineau, Ane Eriksen, Alina L. Evans, Theresa M. Kirchner, Daniel P. Thompson, Barbara Zimmermann
• Grants:
• GMUs or Areas:
• Keywords: accelerometer, biologging, behavior, cervid, moose, Alces alces, machine learning, behavioral analysis, Norway
• Link: https://doi.org/10.1186/s40317-023-00343-0 (Offsite)
• Partners:
• Primary Authors: Theresa M. Kirchner
• Programs: Kenai Moose Research Center
• Project Numbers:
• Publication Types: Journal Article/External Publication
• Regions:
• Species: Moose
• Species Categories: Big Game, Mammals, Ungulates
• Title: Predicting moose behaviors from tri-axial accelerometer data using a supervised classification algorithm
• Topics: Habitat, Research, Behavioral Ecology, Anthropogenic Effects
• Year: 2023

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