GAM+RAC models for species richness.
收藏NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/GAM_RAC_models_for_species_richness_/26259922
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资源简介:
Statistics acronyms are BIC = Bayesian information criterion, ΔBIC = delta BIC (i.e., the difference in BIC score between the best model and the model being compared). Predictors’ acronyms are: Tmean = mean temperature, S = salinity, Chla = chlorophyll-a concentration, MLD = mixed layer depth, autocovariate = residuals autocovariate. The best model is highlighted in bold.
本数据集涉及的统计学术语缩写如下:BIC为贝叶斯信息准则(Bayesian information criterion),ΔBIC为ΔBIC(delta BIC,即最优模型与待比较模型的BIC得分之差);预测变量的缩写对应关系为:Tmean代表平均温度(mean temperature),S代表盐度(salinity),Chla代表叶绿素a浓度(chlorophyll-a concentration),MLD代表混合层深度(mixed layer depth),autocovariate代表残差自协变量(residuals autocovariate)。最优模型以粗体标注。
创建时间:
2024-07-11



