Risk weight masks - Appendix B4 of PhD Thesis - Tracing marine biosecurity risks using multi-region input-output analysis

The finalised input parameters developed in this thesis include six risk weight masks formatted to fit a MR-SUT T matrix for 67 trade groups trading 39 commodity categories. Each risk weight mask is a 5,226 x 5,226 matrix. One was for risks associated with individual trade groups and is based on the number and size of ports in each trade group. Two were for risks associated with commodities, one based on a simple average of vessel types per commodity category, and the other based on maximum risk among all vessel types per commodity category. Three were for trade group pairs, including individual masks for environmental similarity risk, voyage duration risk, and voyage path risk (see Appendix B3 - DOI: 10.17608/k6.auckland.20523990). The dataset also includes the two input matrices for generating the MR-SUT, one for the 67 trade groups and one for the 39 commodity categories.本论文开发的最终确定的输入参数包含6个风险权重掩码（risk weight mask），均适配用于面向67个贸易组、覆盖39类商品贸易的MR-SUT T矩阵。每个风险权重掩码均为5226×5226维矩阵。其中一个掩码针对单个贸易组的风险，其计算依据为各贸易组内港口的数量与规模。另有两个掩码针对商品相关风险：其一基于每类商品对应船舶类型的简单平均风险，其二基于每类商品对应所有船舶类型中的最大风险。剩余三个掩码针对贸易组配对风险，涵盖环境相似性风险、航程时长风险与航行路径风险三类独立掩码（详见附录B3——DOI: 10.17608/k6.auckland.20523990）。本数据集还包含两类用于生成MR-SUT的输入矩阵，分别对应67个贸易组与39类商品。