R Code, Data, and Output Supporting: Facilitating effective collaboration to prevent aquatic invasive species spread
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2021-10-26
2023-09-01
2023-09-01
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2023-09-01
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Bajcz, Alex W.
bajcz003@umn.edu
bajcz003@umn.edu
Abstract
This repository contains R code, raw and processed data, and associated outputs supporting the results reported in: Kinsley, A, Bajcz A, Haight R, and Phelps N. 2023. Facilitating effective collaboration to prevent aquatic invasive species spread. Biological Invasions [in press].
In brief, this repository provides the inputs, code, and documentation for our process of generating optimization models, using linear integer programming (LIP) in R, that would find optimal placement patterns for watercraft inspection stations to thwart the movement of boats at risk of carrying aquatic invasive species from one lake to another within the state of Minnesota, given certain assumptions about how jurisdictional authority operates within the state.
Description
The data contain an optimization model and supporting analyses to assess the impact of county collaborations on the efficiency of watercraft inspection plans. We apply the model to three scenarios in Minnesota to compare a statewide, country-focused, and collaborative approach. The model considers inspection locations for zebra mussels, starry stonewort, spiny water flea, and Eurasian watermilfoil across 9,182 waterbodies in Minnesota.
Referenced by
Kinsley, A. C., Bajcz, A. W., Haight, R. G., & Phelps, N. B. (2024). Facilitating effective collaboration to prevent aquatic invasive species spread. Biological Conservation, 290, 110449.
https://doi.org/10.1016/j.biocon.2024.110449
https://doi.org/10.1016/j.biocon.2024.110449
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Attribution-ShareAlike 3.0 United States
http://creativecommons.org/licenses/by-sa/3.0/us/
http://creativecommons.org/licenses/by-sa/3.0/us/
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Minnesota Aquatic Invasive Species Research Center
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Bajcz, Alex, W.; Kinsley, Amy; Haight, Robert; Phelps, Nicholas B. D.. (2023). R Code, Data, and Output Supporting: Facilitating effective collaboration to prevent aquatic invasive species spread. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/7h2q-qw35.
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readme.txt
Readme Documentation File
(15.67 KB)
statelevel_modelMSI.R
State level script to optimize inspection stations
(3.8 KB)
countylevel_model.R
County level script to optimize inspection stations
(15.47 KB)
collablevel_model.R
Collab level script to optimize inspection stations
(15.56 KB)
interpretting lakes_selected_x files.R
Post-processing script for optimization models
(10.64 KB)
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