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Model simulation and Expected Value of Information code

Dates

Publication Date
Start Date
2011-08
End Date
2012-09

Citation

Max Post van der Burg, 20160601, Model simulation and Expected Value of Information code: , http://dx.doi.org/10.3996/032015-JFWM-023.

Summary

This code was used in a simulated decision analysis project designed to evaluate the value of different kinds of information with regard to making optimal investments in invasive plant control programs. The code was developed in the R programming environment. The file "sim_code.R" contains the initialization of the parameters and analysis; the file "pop_sim.ccp" is a C++ program that executes the actual simulation and returns the results to R. We developed a hypothetical scenario in which a manager is tasked with control of invasive plants on 100 management units each 100 ha in size. 90 of these units were assumed to be under private management and 10 were assumed to be conservation units (i.e. under public management). For this problem [...]

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Attached Files

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Sim_code.R 14.18 KB
pop_sim.cpp 5.44 KB

Purpose

To evaluate the Epected Value of Information for resolving uncertainty in each model parameter. This analysis was intended to help prioritize which information would be most beneficial in improving invasive species management decisions.

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