R code and data for "Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species"

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2010-01-01
2019-02-28

Date completed

2021-09-22

Date updated

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Title

R code and data for "Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species"

Published Date

2021-11-15

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Author Contact

Severud, William J.
seve0135@umn.edu

Type

Dataset

Abstract

This collection of files provides data and R code supporting the publication "Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species" in review at Science Advances. We provide all necessary code to reproduce the analysis along with simulated movement data of white-tailed deer, moose, and wolves.

Description

See ReadMe text file for a comprehensive description of all uploaded data files.

Referenced by

Oliveira-Santos, et al. Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species. In revision. Science Advances.

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Funding information

Minnesota Environment and Natural Resources Trust Fund, as recommended by the Legislative-Citizen Commission on Minnesota Resources
US Fish and Wildlife Services Tribal Wildlife Grant Program
U.S. Bureau of Indian Affairs
U.S. EPA Great Lakes Restoration Initiative
Minnesota Zoo Ulysses S. Seal Conservation Fund
Indianapolis Zoo Conservation Grant
Van Sloun Foundation

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Previously Published Citation

Suggested citation

Oliveira-Santos, L. Gustavo R.; Moore, Seth A.; Severud, William J.; Forester, James D.; Isaac, Edmund J.; Chenaux-Ibrahim, Yvette M.; Garwood, Tyler; Escobar, Luis E.; Wolf, Tiffany M.. (2021). R code and data for "Spatial compartmentalization: a nonlethal predator mechanism to reduce parasite transmission between prey species". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/54h8-h277.
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File View/OpenDescriptionSize
deer_track.csvSimulated deer location data1.01 MB
moose_track.csvSimulated moose location data8.79 MB
wolf_track.csvSimulated wolf location data105.88 KB
elevation.tifElevation map of study area45.41 MB
habitat.tifHabitat map of study area4.34 MB
wolf_pressure.tifWolf predation pressure map of study area8.93 MB
helper_updated.RR code containing functions to perform analyses53.59 KB
wolf_pressure_map.RCode to create map of wolf predation pressure4.5 KB
sillover_routine.R.RCode to perform all routines for trajectory handling, classify movement modes, split trajectories, perform SSF, make predictions, make spatial predictions, estimate overlap and spillover changes14.57 KB
readme.txtDescription of data13.68 KB

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