For each variable, we list its name, type, source, and whether it was included in the reduced model. The full model includes all explanatory variables.</p
Graphical presentation of the random forest modeling showing the relative importance of the risk fac...
List of the environmental variables selected to implement both the MaxEnt species distribution model...
(A) Importance ranking of the included variables. (B) Ten-fold cross-validation of the random forest...
Models for each individual state created using random forests analysis with explanatory variables li...
<p>Importance of the explanatory variables in the Random Forest models for β-site and β-conn measure...
Outcome and explanatory variables, and their sources, included in the multi-level model analysis.</p
<p>Only the top 15 variables (out of 270 total potential predictors) are shown. Variables are ordere...
Input variables used by the Random Forests for the estimation of the direct economic impacts and the...
<p>Explanatory variables used in deforestation and land-use conversion models in this study.</p
Models for US Lake States region created using random forests analysis with explanatory variables li...
<p>Random Forest models using three normalized variables as representations of nest location for wea...
Summary statistics for forest inventory variables used in randomForest analysis from P2-plus and P2 ...
Categories of candidate variables (and order of entry), variable names of variables used in the rela...
Five sets of data were separately used as inputs in the object-based random forest classification.</...
<p>Accuracies of random forest models built on different HMs and combination of HMs.</p
Graphical presentation of the random forest modeling showing the relative importance of the risk fac...
List of the environmental variables selected to implement both the MaxEnt species distribution model...
(A) Importance ranking of the included variables. (B) Ten-fold cross-validation of the random forest...
Models for each individual state created using random forests analysis with explanatory variables li...
<p>Importance of the explanatory variables in the Random Forest models for β-site and β-conn measure...
Outcome and explanatory variables, and their sources, included in the multi-level model analysis.</p
<p>Only the top 15 variables (out of 270 total potential predictors) are shown. Variables are ordere...
Input variables used by the Random Forests for the estimation of the direct economic impacts and the...
<p>Explanatory variables used in deforestation and land-use conversion models in this study.</p
Models for US Lake States region created using random forests analysis with explanatory variables li...
<p>Random Forest models using three normalized variables as representations of nest location for wea...
Summary statistics for forest inventory variables used in randomForest analysis from P2-plus and P2 ...
Categories of candidate variables (and order of entry), variable names of variables used in the rela...
Five sets of data were separately used as inputs in the object-based random forest classification.</...
<p>Accuracies of random forest models built on different HMs and combination of HMs.</p
Graphical presentation of the random forest modeling showing the relative importance of the risk fac...
List of the environmental variables selected to implement both the MaxEnt species distribution model...
(A) Importance ranking of the included variables. (B) Ten-fold cross-validation of the random forest...
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