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Variance projection of individual models on the first component obtained from a principal component analysis (PCA) of the six individual predictions.

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Figshare2017-10-27 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Variance_projection_of_individual_models_on_the_first_component_obtained_from_a_principal_component_analysis_PCA_of_the_six_individual_predictions_/5506207
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Percentage of variance that PC1 explained, together with the factor loadings of individual models, are shown. Bold values are the four models for which the PC1s were the highest for each combination of species x time, which were selected for the “PCA(median)” consensus. Individual models were generated for the four subspecies separately and for Oncomelania hupensis as a whole.

本研究列出了主成分1(Principal Component 1,PC1)所解释的方差占比,以及各独立模型的因子载荷。其中加粗数值代表在每个物种×时间组合下PC1得分最高的四个模型,这些模型被选用于构建"PCA(中位数)"共识模型。本次研究分别针对4个亚种以及湖北钉螺(Oncomelania hupensis)整体生成了独立模型。
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2017-10-27
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