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Software for optimizing treatment to slow the spatial propagation of invasive species: Code and results

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DataONE2024-03-27 更新2024-06-08 收录
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Slowing the spread of invasive species is a major challenge. How can we achieve this goal in the most cost-effective manner? This package includes the complete code and simulation results that help finding the optimal, most cost-effective treatment to slow the spread of a propagating species. This package accompanies the paper \"Optimizing strategies for slowing the spread of invasive species\" by Adam Lampert (PLOS Computational Biology, DOI: 10.1371/journal.pcbi.1011996). The file general_model_code.zip contains the code for the general model; the file spongy_moth_model_code.zip contains the code for the spongy moth model; and the file general_model_simulation_results.zip contains the results for the general model; and the file spongy_moth_model_simulation_results.zip contains the results for the spongy moth model., The code for the simulations was written in Matlab and the simulation results were obtained by running the code. , Opening the code and results requires an installation of Matlab (2021b for Windows or a similar version)., # Software for optimizing treatment to slow the spatial propagation of invasive species: code and results ## ## Description: The complete code and simulation results for finding the optimal treatment of a population front, to slow its propagation to a speed v. The algorithm is described in the paper \"Optimizing strategies for slowing the spread of invasive species\" by Adam Lampert (PLOS Computational Biology, DOI: 10.1371/journal.pcbi.1011996). Some of the results are demonstrated in Figs. 2-5 in that paper. ## Authorship: The code was written by Adam Lampert, Institute of Environmental Sciences, Robert H. Smith Faculty of Agriculture, Food and Environment, the Hebrew University of Jerusalem, Israel. ## Installation: Running the Matlab code requires the installation of Matlab 2021b for Windows (or a similar version of Matlab). ## Running the code – general model: 1\. Extract all files from \"general_model_code.zip\" into a single folder. 2\. Open \"main.m\" and \"calc_cost.m\" using M...
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2024-03-28
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