Cost-effective portfolio allocation across quarantine, surveillance and eradication using info-gap theory

Biosecurity activities primarily include pre-border and border quarantine, post-border surveillance and post-border eradication. Budget allocated to quarantine and surveillance activities ultimately influence the expenditure and success rate of eradication campaigns. Optimal portfolio allocation examined in previous research is susceptible to potential severe uncertainties existing in ecology and in the behaviour of invasive species itself. These uncertainties, together with a limited budget, make it difficult for decision makers to allocate the total management budget to each biosecurity activity in a robust manner.
Info-gap decision theory is applied to model the severe uncertainty in invasive species management, and robust optimize the total management cost.
This research shows that using a combination of pre-border and border quarantine (to reduce the incursion probability) and post-border surveillance (to enable early detection and rapid response), enables decision makers to be mor..., Input data, provided by Chevron Australia, can be found in excel file 'matlab+totalcost.xlsx'.
Code file 'Figure 2' is used to generate Fig 2 in the manuscript, indicating the relationship between robustness and total budget limit, with the optimal portfolio allocation between quarantine and surveillance applied. This part also presented the effects of altering the estimated population threshold on the robustness.
Code files 'Figure 3' and 'Figure 4' are used to generate Fig 3 and Fig 4 in the manuscript. This part was to evaluate the robustness of various portfolio allocation options, with estimated population threshold set at 8 and 20 respectively. 
All the exploratory analyses of robustness function in the manuscript have been conducted in MATLAB R2018b (MathWorks 2018)., , # Title of Dataset:

Cost-effective portfolio allocation across quarantine, surveillance and eradication using info-gap theory

We have submitted our raw data (**matlab+totalcost.xlsx**), MATLAB script (**Figure 2.m, Figure 3.m, Figure 4.m**).

## Description of the Data and file structure

In the excel file **'matlab+totalcost.xlsx':**

*Surface Info:* The potential entry points for an Asian house gecko (AHG) incursion on Barrow Island (BWI), Western Australia. Zone 0 is the buffer area at Material Offloading Facility (MOF) (i.e. X-Blocs area). Zone 1 is the area with the highest occupancy probability, where the majority of the surveillance budget should be spent. Zone 2 is the secondary introduction area (100 m buffer area around Zone 1) and is considered the lower risk boundary for a species dispersing out of Zone 1. Zone 3 is the remaining island area where the AHG is less likely to establish prior to detection thus with no SSCs allocated. POF is Permanent Operating Facility; GTP is...