Clustering of biorefineries for land use change analysis
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The presentation describes the methodology and results for clustering 187 biorefineries into 13 representative clusters. The problem is that detailed geographic analysis with photographic ground truthing can only be conducted on ~15 biorefineries within the project scope. How do we select the subset of 15 biorefineries among the ~200 nationally to assess? The solution is to use multivariate clustering to ensure the subset of ~15 biorefineries are statistically representative of all biorefineries in the U.S.