Results of generalized linear models.
收藏NIAID Data Ecosystem2026-03-07 收录
下载链接:
https://figshare.com/articles/dataset/_Results_of_generalized_linear_models_/164936
下载链接
链接失效反馈官方服务:
资源简介:
Independent effects of predictor variables calculated by hierarchical partitioning are shown with statistically significant effects (p<0.05) in boldface. SV at the spatial scale (SV scale) that most strongly correlated with the biological response variable (see Table 6) was used in each model. Expl. dev. – explained deviance (%) of a model, S – species richness, Shan. – Shannon index, gr. – number of groups.
经层次划分(hierarchical partitioning)计算所得的预测变量独立效应,已将具有统计显著性的效应(p<0.05)以黑体形式标注。每个模型均采用与生物响应变量相关性最强的空间尺度(SV scale)下的SV,具体参见表6。其中,Expl. dev. 指模型的解释离差百分比(explained deviance (%)),S 代表物种丰富度(species richness),Shan. 代表香农指数(Shannon index),gr. 代表分组数(number of groups)。
创建时间:
2013-02-06



