Summary of SDM literature most closely related to our research.
收藏NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Summary_of_SDM_literature_most_closely_related_to_our_research_/26080293
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资源简介：
Columns indicate: adjusting the models for uncertainty (Adjust), whether a GLM or GAM was used, multiple predictors (Xj), Berkson error (UB), Classical error (UC), the predictors were estimated by kriging (X(s)), spatial component was included in the SDM (W(s)).
创建时间：
2024-06-21
