Replication Data for: Reconstructing past vegetation with Random Forest Machine Learning, sacrificing the dynamic response for robust results
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接：
https://doi.org/10.7910/DVN/YIYP7P
下载链接
链接失效反馈官方服务：
资源简介：
Fig.1 PMIP SAT ensenble spread (nc file) Fig. 2 Simulated (ML) global biome distribution for PI, MH and LGM Fig. 3-5 Perturbation simulation results of ML and LPJ-GUESS Ref: Reconstructing past vegetation with Random Forest Machine Learning, sacrificing the dynamic response for robust results by Amelie Lindgren, Zhengyao Lu, Qiong Zhang, Gustaf Hugelius, JAMES (2020) For any question, please contact: zhengyao.lu@nateko.lu.se; amelie.lindgren@natgeo.su.se
创建时间：
2020-12-10
