Python and R codes for "Using post-disturbance movement dynamics to understand the role of spatial proximity to the maternal-neonate bond and parental investment in moose (Alces alces)"

Mohsen Ahmadkhani (Creator)
Veronique St-Louis (Creator)
Glenn D Del Giudice (Creator)
William J Severud (Creator)
Tyler R. Obermoller (Creator)

Dataset

Description

Abstract
The submitted python script performs moose movement analyses (i.e dynamic interaction (DI) values, and reunion analysis). The R script measures MCP and KDE home range values for the animals.

Funding information
Sponsorship: Wildlife and Wildlife Populations and Research Unit; Minnesota Environmental and Natural Resources Trust Fund (ENRTF); Wildlife Restoration (Pittman-Robertson) Program; Minnesota Deer Hunters Association

Date made available	2020
Publisher	Data Repository for the University of Minnesota

Access Dataset

http://hdl.handle.net/11299/216937

Cite this

Ahmadkhani, M. (Creator), St-Louis, V. (Creator), Del Giudice, G. D. (Creator), Severud, W. J. (Creator), Obermoller, T. R. (Creator) (2020). Python and R codes for "Using post-disturbance movement dynamics to understand the role of spatial proximity to the maternal-neonate bond and parental investment in moose (Alces alces)". Data Repository for the University of Minnesota.