Data and R code supporting "A hidden Markov model for ecosystems exhibiting alternative stable states"

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2009
2011

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Journal Title

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Title

Data and R code supporting "A hidden Markov model for ecosystems exhibiting alternative stable states"

Published Date

2021-01-20

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Author Contact

Vitense, Kelsey
viten003@umn.edu

Type

Dataset
Field Study Data
Statistical Computing Software Code

Abstract

This repository contains the data and R code used to conduct the analyses in the article "Using hidden Markov models to inform conservation and management strategies in ecosystems exhibiting alternative stable states" in Journal of Applied Ecology.

Description

Detailed descriptions for each of the files can be found in README.txt. We recommend using RStudio to run the code. Once all files are downloaded to a single directory, double-click on 'HMM.Rproj' to open up a new RStudio window, and the working directory will automatically be set to the folder where the project files are located.

Referenced by

Vitense, K. Hanson, M.A., Herwig, B.R., Zimmer, K.D., & Fieberg, J. (2021). Using hidden Markov models to inform conservation and management strategies in ecosystems exhibiting alternative stable states. Journal of Applied Ecology, 58(5), 1069-1078.
https://doi.org/10.1111/1365-2664.13855

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Funding information

Minnesota Department of Natural Resources
Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR)
University of Minnesota Graduate School
National Science Foundation
University of St. Thomas
Minnesota Agricultural Experimental Station
McKnight Foundation

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Previously Published Citation

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Suggested citation

Vitense, Kelsey; Hanson, Mark A; Herwig, Brian R; Zimmer, Kyle D; Fieberg, John R. (2021). Data and R code supporting "A hidden Markov model for ecosystems exhibiting alternative stable states". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/sm2d-fk79.
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File View/OpenDescriptionSize
HMM.zipZip file containing the complete repository (see README.txt)102.41 MB
README.txtDetailed description of each file8.45 KB

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