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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Title
R Code, Data, and Output Supporting: Facilitating effective collaboration to prevent aquatic invasive species spread
Published Date
2023-09-05
Author Contact
Bajcz, Alex W.
bajcz003@umn.edu
bajcz003@umn.edu
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Dataset
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Simulation Data
Statistical Computing Software Code
Experimental Data
Simulation Data
Statistical Computing Software Code
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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Minnesota Aquatic Invasive Species Research Center
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Bajcz, Alex, W.; Kinsley, Amy; Haight, Robert; Phelps, Nicholas. (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)
statelevel_modelMSI_makemod.R
Supplementary R code to statelevel_modelMSI
(2.59 KB)
processing_statewide_model.R
Supplementary R code to statelevel_modelMSI
(2.13 KB)
making boats_reduce files.R
Supplementary R code
(2.02 KB)
statewide_modelMSI.sh
Bash batch script for state-level optimization model
(411 B)
statelevel_modelMSI_makemod.sh
Bash batch script for state-level optimization model
(381 B)
countymod_budgets.csv
MN budget data used in county level model
(4.33 KB)
collabmod_budgets_collabsandcounties.csv
MN budget data used in collab level model
(3.99 KB)
lake_info.csv
Lake data input for optimization models
(478.97 KB)
Lakes_total_collabs.csv
Lake data input for optimization models
(631.64 KB)
boats_adjSWF.RDS
RDS data file input to optimization scripts
(495.52 KB)
boats_reduce.RDS
RDS data file input to optimization scripts
(1.93 MB)
boats_reduce_noswf.RDS
RDS data file input to optimization scripts
(1.73 MB)
statewide_model_results.zip
Zip folder of per-budget-level RDS data
(17.71 KB)
Kao_s_boater_networks.zip
Zip folder of estimated boat trip data
(125.42 MB)
budget_determination_workflow.xlsx
File used to calculate total budget allocation
(24.94 KB)
lakes_selected_state.RDS
Results from state optimization model
(135 B)
lakes_selected_county.RDS
Results from county optimization model
(3.96 KB)
lakes_selected_collabs.RDS
Results from collabs optimization model
(3.89 KB)
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