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
  • Funding Sources:
  • 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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