<p>Notes: MA, Topography + climate + Landsat TM; MB, Topography + climate; MC, Landsat TM; MAE, the mean absolute error; RMSE, the root mean squared error; R<sup>2</sup>, the coefficient of determination; LCCC, Lin’s concordance correlation coefficient.</p><p>Predictive quality of three boosted regression tree (BRT) models for ln(SOC).</p
<p>Best fit functions, determination coefficients (R<sup>2</sup>), root mean square errors (RMSE) an...
<p>Comparisons between individual VRMs (visual regression models) and SLRMs (stepwise linear regress...
<p>A, B, C, and D are the four habitat metric sets, and 4BPHMs are the four best predictive height-s...
Tair = air temperature, P = precipitation, Rg = global radiation, and VPD = vapor pressure deficit. ...
Relative influence of predictor variables in models of climatic suitability for boosted regression t...
<p>Classification accuracy was shown with the numbers of pixels that were observed and predicted in ...
<p>The graphs show Observed vs. Fitted tree occurrences (A) and smoothed partial contributions withi...
Model evaluation is based on the known distribution of the species on the island and an equal number...
<p>RMSE boxplots of repeated cross-validation (a<sub>1</sub>-e<sub>1</sub>) and development of the m...
<p>D<sup>2</sup>: explained predictive deviance</p><p>AUC: area under the receiver operating curve (...
<p>lr, learning rate; tc, tree complexity. Cross-validation (cv) deviance and standard error (se) is...
A) PLS model using only the peak centered at 1796 cm-1 and 1st derivative preprocessing (Table 5). H...
<p>Summary of the relative contributions (%) of predictor variables (average Bray-Curtis values, tre...
LSTM = LSTM model using the full depth of the Landsat time series and climate data; LSTMperm = LSTM ...
<p>PAW: plant available water; NDVI: normalized differential vegetation index; EVI: Enhanced vegetat...
<p>Best fit functions, determination coefficients (R<sup>2</sup>), root mean square errors (RMSE) an...
<p>Comparisons between individual VRMs (visual regression models) and SLRMs (stepwise linear regress...
<p>A, B, C, and D are the four habitat metric sets, and 4BPHMs are the four best predictive height-s...
Tair = air temperature, P = precipitation, Rg = global radiation, and VPD = vapor pressure deficit. ...
Relative influence of predictor variables in models of climatic suitability for boosted regression t...
<p>Classification accuracy was shown with the numbers of pixels that were observed and predicted in ...
<p>The graphs show Observed vs. Fitted tree occurrences (A) and smoothed partial contributions withi...
Model evaluation is based on the known distribution of the species on the island and an equal number...
<p>RMSE boxplots of repeated cross-validation (a<sub>1</sub>-e<sub>1</sub>) and development of the m...
<p>D<sup>2</sup>: explained predictive deviance</p><p>AUC: area under the receiver operating curve (...
<p>lr, learning rate; tc, tree complexity. Cross-validation (cv) deviance and standard error (se) is...
A) PLS model using only the peak centered at 1796 cm-1 and 1st derivative preprocessing (Table 5). H...
<p>Summary of the relative contributions (%) of predictor variables (average Bray-Curtis values, tre...
LSTM = LSTM model using the full depth of the Landsat time series and climate data; LSTMperm = LSTM ...
<p>PAW: plant available water; NDVI: normalized differential vegetation index; EVI: Enhanced vegetat...
<p>Best fit functions, determination coefficients (R<sup>2</sup>), root mean square errors (RMSE) an...
<p>Comparisons between individual VRMs (visual regression models) and SLRMs (stepwise linear regress...
<p>A, B, C, and D are the four habitat metric sets, and 4BPHMs are the four best predictive height-s...