Results of ensemble model fitting 'ranger', 'xgboost', 'glmnet', 'deepnet': Variable: log.s_mehlich3 R-square: 0.548 Fitted values sd: 0.423 RMSE: 0.384 Random forest model: Call: stats::lm(formula = f, data = d) Residuals: Min 1Q Median 3Q Max -2.5729 -0.2102 -0.0264 0.1694 5.0049 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.459208 4.154229 0.351 0.725 regr.ranger 0.937179 0.016167 57.967 < 2e-16 *** regr.xgboost 0.002587 0.016252 0.159 0.874 regr.cubist 0.145396 0.010890 13.351 < 2e-16 *** regr.nnet -0.672062 1.796642 -0.374 0.708 regr.cvglmnet -0.045157 0.011256 -4.012 6.04e-05 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.3841 on 37530 degrees of freedom Multiple R-squared: 0.5481, Adjusted R-squared: 0.548 F-statistic: 9103 on 5 and 37530 DF, p-value: < 2.2e-16 Variable importance: variable importance 164 clm_bioclim.var_chelsa.3_m_1km_s0..0cm_1979..2013_v1.0.tif 690.66815 221 dtm_elevation_merit.dem_m_250m_s0..0cm_2017_v1.0.tif 474.21199 208 dtm_vbf_merit.dem_m_1km_s0..0cm_2017_v1.0.tif 353.13511 227 dtm_rough.magnitude_merit.dem_m_250m_s0..0cm_2018_v1.0.tif 352.87391 24 clm_precipitation_sm2rain.sep_m_1km_s0..0cm_2007..2018_v0.2.tif 331.16664 184 clm_diffuse.irradiation_solar.atlas.kwhm2.100_m_1km_s0..0cm_2016_v1.tif 234.17556 14 clm_precipitation_sm2rain.jun_m_1km_s0..0cm_2007..2018_v0.2.tif 185.07246 167 clm_bioclim.var_chelsa.6_m_1km_s0..0cm_1979..2013_v1.0.tif 177.99550 280 clm_cloud.fraction_earthenv.modis.sep_p_1km_s0..0cm_2000..2015_v1.0.tif 166.11337 37 clm_lst_mod11a2.dec.day_m_1km_s0..0cm_2000..2017_v1.0.tif 151.83940 168 clm_bioclim.var_chelsa.7_m_1km_s0..0cm_1979..2013_v1.0.tif 142.39826 158 clm_bioclim.var_chelsa.12_m_1km_s0..0cm_1979..2013_v1.0.tif 123.53111 57 clm_lst_mod11a2.mar.day_m_1km_s0..0cm_2000..2017_v1.0.tif 121.78029 33 clm_lst_mod11a2.aug.day_m_1km_s0..0cm_2000..2017_v1.0.tif 115.49266 234 dtm_vbf_merit.dem_m_250m_s0..0cm_2017_v1.0.tif 110.30792 279 clm_cloud.fraction_earthenv.modis.oct_p_1km_s0..0cm_2000..2015_v1.0.tif 110.24695 73 clm_lst_mod11a2.sep.day_m_1km_s0..0cm_2000..2017_v1.0.tif 109.55527 270 clm_cloud.fraction_earthenv.modis.aug_p_1km_s0..0cm_2000..2015_v1.0.tif 107.29977 166 clm_bioclim.var_chelsa.5_m_1km_s0..0cm_1979..2013_v1.0.tif 103.19180 120 veg_fapar_proba.v.feb_d_250m_s0..0cm_2014..2019_v1.0.tif 102.56230 41 clm_lst_mod11a2.feb.day_m_1km_s0..0cm_2000..2017_v1.0.tif 101.60913 89 lcv_surf.refl.b05_mod09a1.pc1_m_500m_s0..0cm_2001_v1.0.tif 100.50936 19 clm_precipitation_sm2rain.may_sd.10_10km_s0..0cm_2007..2018_v1.0.tif 100.31714 320 lcv_b09_sentinel.s2l2a_d_30m_s0..0cm_2018..2019.s12_v0.1.tif 98.50520 54 clm_lst_mod11a2.jun.day_sd_1km_s0..0cm_2000..2017_v1.0.tif 98.37292 16 clm_precipitation_sm2rain.mar_m_1km_s0..0cm_2007..2018_v0.2.tif 98.29067 21 clm_precipitation_sm2rain.nov_sd.10_10km_s0..0cm_2007..2018_v1.0.tif 96.40140 95 lcv_surf.refl.b06_mod09a1.pc1_m_500m_s0..0cm_2001_v1.0.tif 93.77023 1 clm_precipitation_sm2rain.annual_m_1km_s0..0cm_2007..2018_v0.2.tif 92.84808 20 clm_precipitation_sm2rain.nov_m_1km_s0..0cm_2007..2018_v0.2.tif 89.47828 155 clm_bioclim.var_chelsa.1_m_1km_s0..0cm_1979..2013_v1.0.tif 85.37452 62 clm_lst_mod11a2.may.day_sd_1km_s0..0cm_2000..2017_v1.0.tif 85.11217 35 clm_lst_mod11a2.aug.daynight_m_1km_s0..0cm_2000..2017_v1.0.tif 82.96540 162 clm_bioclim.var_chelsa.17_m_1km_s0..0cm_1979..2013_v1.0.tif 81.74435 8 clm_precipitation_sm2rain.feb_m_1km_s0..0cm_2007..2018_v0.2.tif 79.49712 275 clm_cloud.fraction_earthenv.modis.jun_p_1km_s0..0cm_2000..2015_v1.0.tif 79.38138 163 clm_bioclim.var_chelsa.2_m_1km_s0..0cm_1979..2013_v1.0.tif 78.13930 278 clm_cloud.fraction_earthenv.modis.nov_p_1km_s0..0cm_2000..2015_v1.0.tif 77.44151 327 lcv_b8a_sentinel.s2l2a_d_30m_s0..0cm_2018..2019.s22_v0.1.tif 76.81885 58 clm_lst_mod11a2.mar.day_sd_1km_s0..0cm_2000..2017_v1.0.tif 76.76216 330 lcv_b8a_sentinel.s2l2a_d_30m_s0..0cm_2018..2019.s12_v0.1.tif 76.69275 71 clm_lst_mod11a2.oct.daynight_m_1km_s0..0cm_2000..2017_v1.0.tif 76.45822 51 clm_lst_mod11a2.jul.daynight_m_1km_s0..0cm_2000..2017_v1.0.tif 74.97020 258 clm_wind.speed_terraclimate.dec_m_5km_s0..0cm_1998..2018_v1.tif 74.82602 229 dtm_roughness_merit.dem_m_250m_s0..0cm_2018_v1.0.tif 74.30399 123 veg_fapar_proba.v.feb_u.975_250m_s0..0cm_2014..2019_v1.0.tif 73.50763 9 clm_precipitation_sm2rain.feb_sd.10_10km_s0..0cm_2007..2018_v1.0.tif 72.74588 160 clm_bioclim.var_chelsa.14_m_1km_s0..0cm_1979..2013_v1.0.tif 72.71787 30 clm_lst_mod11a2.apr.day_sd_1km_s0..0cm_2000..2017_v1.0.tif 72.38706 281 veg_f02dar.hh_alos.palsar_m_30m_s0..0cm_2007_v1.0.tif 71.51745