Variation in wood density across South American tropical forests

Predicted spatial variation in wood density across tropical South American forests. This data package contains map data products from the paper "Variation in wood density across South American tropical forests".Contents:Ensemble predictions.gri - Predicted wood density averaged across models. Maps shown in Fig. 3 and Fig. S2b.RF spat.gri - Predicted wood density from random forest model - spatial covariates only. Maps shown in Fig S2a.RF env.gri - Predicted wood density from random forest model - environmental covariates only. Map shown in Fig S2a.RF all.gri - Predicted wood density from random forest model - environmental and spatial covariates. Map shown in Fig S2a.GAM spat.gri - Predicted wood density from GAM - spatial covariates only. Map shown in Fig S2a.GAM env.gri - Predicted wood density from GAM - environmental covariates only. Map shown in Fig S2a.GAM all.gri - Predicted wood density from GAM - environmental and spatial covariates. Map shown in Fig S2a.SD predictions.gri - Standard deviation of model predictions. Map shown in Fig. S3.Dissimilarity index.gri - Multivariate dissimilarity index. Fig. S7b.EnvRobustSubsampling.gri - Binary variable - are environmental variables in the range where relationships were robust to subsampling data. Fig. S7c.EnvRangeTraining.gri - Binary variable - are environmental variables in the range seen in the training data. Fig. S7d.AOA1.gri - Binary variable - area of model applicability defined using spatial cross-validation. Fig. S7e.AOA2.gri - Binary variable - area of model applicability defined using non-spatial cross-validation. Fig. S7d.本数据集围绕南美热带森林的木材密度，提供其预测空间变异特征。本数据包包含来自论文《南美热带森林木材密度变异》（Variation in wood density across South American tropical forests）的地图数据产品，具体数据内容如下： 1. Ensemble predictions.gri：多模型集成后的平均木材密度预测值，对应论文图3与补充图S2b。 2. RF spat.gri：仅使用空间协变量的随机森林（Random Forest, RF）模型生成的木材密度预测值，对应补充图S2a。 3. RF env.gri：仅使用环境协变量的随机森林模型生成的木材密度预测值，对应补充图S2a。 4. RF all.gri：同时使用环境与空间协变量的随机森林模型生成的木材密度预测值，对应补充图S2a。 5. GAM spat.gri：仅使用空间协变量的广义加性模型（Generalized Additive Model, GAM）生成的木材密度预测值，对应补充图S2a。 6. GAM env.gri：仅使用环境协变量的广义加性模型生成的木材密度预测值，对应补充图S2a。 7. GAM all.gri：同时使用环境与空间协变量的广义加性模型生成的木材密度预测值，对应补充图S2a。 8. SD predictions.gri：模型预测值的标准差，对应补充图S3。 9. Dissimilarity index.gri：多元相异性指数，对应补充图S7b。 10. EnvRobustSubsampling.gri：二值变量，用于指示环境变量是否处于对子采样数据稳健的关系范围内，对应补充图S7c。 11. EnvRangeTraining.gri：二值变量，用于指示环境变量是否处于训练数据涵盖的范围内，对应补充图S7d。 12. AOA1.gri：二值变量，对应使用空间交叉验证定义的模型适用域（Area of Applicability, AOA），对应补充图S7e。 13. AOA2.gri：二值变量，对应使用非空间交叉验证定义的模型适用域，对应补充图S7d。