Model building results for the Generalized Additive Mixed Models (GAMM) and Generalized Linear Mixed Models (GLMM) relating species richness and environmental predictors in the Uruguayan coast.
收藏Figshare2015-12-02 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/_Model_building_results_for_the_Generalized_Additive_Mixed_Models_GAMM_and_Generalized_Linear_Mixed_Models_GLMM_relating_species_richness_and_environmental_predictors_in_the_Uruguayan_coast_/284248
下载链接
链接失效反馈官方服务:
资源简介:
Main models obtained from the modelling process are expressed in R language. Numbers presented in the model expression refer to the degrees of freedom used in smooth terms (s). The respective Akaike's Information Criterion (AIC) values are presented. All the terms of the last GAMM were significant (p
创建时间:
2015-12-02



