R Code, Data, and Output Supporting: Facilitating effective collaboration to prevent aquatic invasive species spread

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.