Change-point models for identifying behavioral transitions in wild animals
Kathleen P. Gundermann, Department of Ecosystem Science and Management, Pennsylvania State University, University Park, Pennsylvania, USA
Frances E. Buderman, Department of Ecosystem Science and Management, Pennsylvania State University, University Park, Pennsylvania, USA
Kathleen P. Gundermann (kpgund@psu.edu)
Repository Type: Program R script
Year of Origin: 2023
Year of Version: 2023
Version: 1.0.0
Digital Object Identifier (DOI): https://doi.org/10.5066/P9B2HE47
USGS Information Product Data System (IPDS) no.: IP-150001
Gundermann K.P. and Buderman F.E. Change-point models for identifying behavioral changes in wild animals. Version 1.0.0: Software release. Reston, Va.
We present two change-point models for identifying singular changes in movement behavior: a location-based change-point model (LCPM) and a movement metric-based change-point model (MMCPM). This software includes R scripts to: 1) run both the LCPM and MMCPM on telemetry data in a Bayesian hierarchical framework using NIMBLE (mmcpm.R and lcpm.R), 2) generate realistic movement behavior parameters for the simulation study (simulate_data.R), and 3) run both the LCPM and MMCPM on the simulated data (mmcpm_sim.R and lcpm_sim.R). Data and code will be available at https://github.com/kpgund/change-point-datashare.
This code is used in the manuscript in review in Methods in Ecology and Evolution
Suggest citation for accompanying manuscript:
Gundermann, K.P., Diefenbach, D.R., Walter, W.D., Corondi, A.M., Banfield, J.E., Wallingford, B.D., Stainbrook, D.P., Rosenberry, C.S., Buderman, F.E., Change-point models for identifying behavioral changes in wild animals. Movement Ecology