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- Yoshida, Hiroe, et al. Show all 30 Authors
- Environmental modelling & software 2016 v.85 pp. 332-341
- arithmetics; computer software; environmental models; mathematical models; model validation; prediction; principal component analysis; rice; risk
- ... For most biophysical domains, differences in model structures are seldom quantified. Here, we used a taxonomy-based approach to characterise thirteen rice models. Classification keys and binary attributes for each key were identified, and models were categorised into five clusters using a binary similarity measure and the unweighted pair-group method with arithmetic mean. Principal component analy ...