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Nov 12, 2025 - University of Inland Norway
Kirchner, Theresa M; Devineau, Olivier; Thompson, Daniel P; Thiel, Alexandra; Chimienti, Marianna; Evans, Alina L; Crouse, John; Eriksen, Ane, 2025, "Programming code for article: Predicting energy expenditure from dynamic body acceleration in a large boreal ungulate species", https://doi.org/10.18710/3EB2DM, DataverseNO, V1
These files contain code to prepare data for and fit a dynamic generalized additive model to predict energy heart rate and energy expenditure from dynamic body acceleration in moose (Alces alces). In this study, we collected heart rate data using implanted loggers and accelerometer data using tri-axial accelerometer collars. To quantify heart rate...
R Syntax - 8.2 KB - MD5: 3da9a28b237125dc23df834a54db97e1
Time drift correction of HR logger measurements
R Syntax - 13.7 KB - MD5: 8d216d940d8f850882ceef151c705c1a
Manual validation of HR logger measurements
R Syntax - 7.5 KB - MD5: c65364fe42d51ee3e733a75217ce6170
Prepare accelerometer data to predict behavior using random forest model (Kirchner et al. 2023)
R Syntax - 3.3 KB - MD5: 952f91918bb5729986bc4258d7baab7c
Join heart rate and ODBA and behavioral data by timestamps
R Syntax - 5.0 KB - MD5: c248bfdfa494fe15c98a01b95046f964
Create final dataset (combine data from all individuals and filter)
R Syntax - 8.4 KB - MD5: aa7aaaea2509e5c3930fbb6d3c41b2b8
Run and inspect dynamic generalized additive model of moose heart rate
R Syntax - 12.5 KB - MD5: 9f60d4c36f6b683864be986f50680366
Calculate energy expenditure from heart rate
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