AR6- Database

We have run the AR6 database with a battery of mortality impact functions from FASST(R) (Rodes et al. 2024).

We then calculate CO2 FFI emissions and mortality changes wrt to baselines and fit function models to the data per R10, regions. The models can then be directly implemented into simple IAMs (e.g. RICE+)

AFRICA

Region Model Eq RMSE MAE R2 Time
AFRICA Linear diff_deaths ~ a + b * diff_emit 4.725570e+03 3.548880e+03 4.700000e-01 2030
AFRICA Exponential a * exp(b * diff_emit) 4.928300e+03 3.822480e+03 4.300000e-01 2030
AFRICA Logaritmic a + b * log(diff_emit) 5.483730e+03 4.515550e+03 2.500000e-01 2030
AFRICA Poli Quadradic a + b * diff_emit + c * diff_emit^2 4.691610e+03 3.504410e+03 4.800000e-01 2030
AFRICA Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 4.683480e+03 3.470480e+03 4.800000e-01 2030
AFRICA Logistic (a / (1+exp(-(b + c*diff_emit))))+d 4.677580e+03 3.462070e+03 4.900000e-01 2030
AFRICA Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 4.704850e+03 3.491440e+03 4.800000e-01 2030
AFRICA Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 6.470600e+03 5.050020e+03 2.000000e-02 2030
AFRICA Linear diff_deaths ~ a + b * diff_emit 1.640379e+04 1.187780e+04 2.400000e-01 2050
AFRICA Exponential a * exp(b * diff_emit) 1.910974e+12 1.501610e+11 -1.026655e+16 2050
AFRICA Logaritmic a + b * log(diff_emit) 1.674603e+04 1.249400e+04 1.400000e-01 2050
AFRICA Poli Quadradic a + b * diff_emit + c * diff_emit^2 1.629860e+04 1.182881e+04 2.500000e-01 2050
AFRICA Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 1.613439e+04 1.162974e+04 2.700000e-01 2050
AFRICA Logistic (a / (1+exp(-(b + c*diff_emit))))+d 1.607711e+04 1.146352e+04 2.700000e-01 2050
AFRICA Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 1.608229e+04 1.145233e+04 2.700000e-01 2050
AFRICA Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 1.879141e+04 1.318788e+04 1.000000e-02 2050
Model a b c d
Linear 1802.7258 7.895348 NA NA
Exponential 0.0000 0.010000 NA NA
Logaritmic -44546.2422 8358.333217 NA NA
Poli Quadradic 1534.8740 9.829331 -0.000707 NA
Poli Cubic -976.5344 10.741608 0.000318 0.000
Logistic 32158.1253 -2.876786 0.001747 -1894.558
Sigmoid 30018.1762 0.001984 1738.344093 NA
Sinusoidal 2320.7147 -0.008813 74.865420 15131.989


CHINA+

Region Model Eq RMSE MAE R2 Time
CHINA+ Linear diff_deaths ~ a + b * diff_emit 4.625669e+04 3.041106e+04 7.100000e-01 2030
CHINA+ Exponential a * exp(b * diff_emit) 5.408832e+28 4.630869e+27 -3.955688e+47 2030
CHINA+ Logaritmic a + b * log(diff_emit) 7.161129e+04 5.638403e+04 3.000000e-01 2030
CHINA+ Poli Quadradic a + b * diff_emit + c * diff_emit^2 4.333780e+04 2.958880e+04 7.500000e-01 2030
CHINA+ Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 4.318050e+04 2.916213e+04 7.500000e-01 2030
CHINA+ Logistic (a / (1+exp(-(b + c*diff_emit))))+d 4.326265e+04 2.964100e+04 7.500000e-01 2030
CHINA+ Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 4.348671e+04 3.065678e+04 7.400000e-01 2030
CHINA+ Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 8.577176e+04 6.612363e+04 1.000000e-02 2030
CHINA+ Linear diff_deaths ~ a + b * diff_emit 9.607689e+04 7.767406e+04 3.900000e-01 2050
CHINA+ Exponential a * exp(b * diff_emit) 3.354947e+55 1.359514e+54 -7.498583e+100 2050
CHINA+ Logaritmic a + b * log(diff_emit) 9.883542e+04 8.265923e+04 2.300000e-01 2050
CHINA+ Poli Quadradic a + b * diff_emit + c * diff_emit^2 9.530279e+04 7.686564e+04 3.900000e-01 2050
CHINA+ Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 9.278041e+04 7.465309e+04 4.300000e-01 2050
CHINA+ Logistic (a / (1+exp(-(b + c*diff_emit))))+d 9.239537e+04 7.449736e+04 4.300000e-01 2050
CHINA+ Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 9.292612e+04 7.305006e+04 4.200000e-01 2050
CHINA+ Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 1.221484e+05 9.630055e+04 1.000000e-02 2050
Model a b c d
Linear 24290.676 18.685989 NA NA
Exponential 0.000 0.010000 NA NA
Logaritmic -399578.102 64428.741597 NA NA
Poli Quadradic 22309.604 23.821281 -0.000543 NA
Poli Cubic -4131.816 26.039668 0.000987 0.00
Logistic 268682.422 -1.658225 0.000544 -57927.18
Sigmoid 203492.839 0.000916 4044.733443 NA
Sinusoidal 13220.620 -0.093302 -328.021422 140280.80


EUROPE

Region Model Eq RMSE MAE R2 Time
EUROPE Linear diff_deaths ~ a + b * diff_emit 1.133110e+04 7.630240e+03 6.30000e-01 2030
EUROPE Exponential a * exp(b * diff_emit) 5.451686e+05 6.005679e+04 -8.48190e+02 2030
EUROPE Logaritmic a + b * log(diff_emit) 1.664999e+04 9.425670e+03 2.40000e-01 2030
EUROPE Poli Quadradic a + b * diff_emit + c * diff_emit^2 7.844600e+03 5.487140e+03 8.20000e-01 2030
EUROPE Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 7.347220e+03 5.091730e+03 8.50000e-01 2030
EUROPE Logistic (a / (1+exp(-(b + c*diff_emit))))+d 7.309560e+03 5.132590e+03 8.50000e-01 2030
EUROPE Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 7.695300e+03 5.270180e+03 8.30000e-01 2030
EUROPE Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 1.856839e+04 9.709040e+03 1.00000e-02 2030
EUROPE Linear diff_deaths ~ a + b * diff_emit 1.682397e+04 1.081688e+04 4.60000e-01 2050
EUROPE Exponential a * exp(b * diff_emit) 2.104723e+13 9.562552e+11 -8.40371e+17 2050
EUROPE Logaritmic a + b * log(diff_emit) 1.992860e+04 1.366069e+04 2.30000e-01 2050
EUROPE Poli Quadradic a + b * diff_emit + c * diff_emit^2 1.625653e+04 9.882930e+03 5.00000e-01 2050
EUROPE Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 1.621285e+04 9.541960e+03 5.00000e-01 2050
EUROPE Logistic (a / (1+exp(-(b + c*diff_emit))))+d 1.585711e+04 9.092670e+03 5.20000e-01 2050
EUROPE Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 1.586898e+04 9.138670e+03 5.20000e-01 2050
EUROPE Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 2.290505e+04 1.582255e+04 0.00000e+00 2050
Model a b c d
Linear -3854.067 11.489278 NA NA
Exponential 0.000 0.010000 NA NA
Logaritmic -62353.234 10989.535220 NA NA
Poli Quadradic -2935.176 6.852264 0.001470 NA
Poli Cubic -1618.884 6.314437 0.000887 0.000
Logistic 61979.315 -4.898986 0.001628 1900.205
Sigmoid 66640.648 0.001400 3030.362451 NA
Sinusoidal -2260.697 -0.158970 -179.923876 15641.885


INDIA+

Region Model Eq RMSE MAE R2 Time
INDIA+ Linear diff_deaths ~ a + b * diff_emit 1.912865e+04 1.163796e+04 8.900000e-01 2030
INDIA+ Exponential a * exp(b * diff_emit) 2.931129e+04 2.199395e+04 7.400000e-01 2030
INDIA+ Logaritmic a + b * log(diff_emit) 3.488015e+04 2.711823e+04 6.000000e-01 2030
INDIA+ Poli Quadradic a + b * diff_emit + c * diff_emit^2 1.907563e+04 1.146470e+04 8.900000e-01 2030
INDIA+ Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 1.893401e+04 1.140996e+04 8.900000e-01 2030
INDIA+ Logistic (a / (1+exp(-(b + c*diff_emit))))+d 1.890964e+04 1.136191e+04 8.900000e-01 2030
INDIA+ Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 2.153616e+04 1.376278e+04 8.600000e-01 2030
INDIA+ Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 5.732138e+04 4.740982e+04 2.000000e-02 2030
INDIA+ Linear diff_deaths ~ a + b * diff_emit 7.144061e+04 4.378746e+04 6.000000e-01 2050
INDIA+ Exponential a * exp(b * diff_emit) 1.199883e+24 7.920532e+22 -1.117419e+38 2050
INDIA+ Logaritmic a + b * log(diff_emit) 8.209159e+04 6.069260e+04 3.300000e-01 2050
INDIA+ Poli Quadradic a + b * diff_emit + c * diff_emit^2 6.760456e+04 4.440975e+04 6.500000e-01 2050
INDIA+ Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 6.238974e+04 3.723533e+04 7.000000e-01 2050
INDIA+ Logistic (a / (1+exp(-(b + c*diff_emit))))+d 6.481591e+04 3.989471e+04 6.700000e-01 2050
INDIA+ Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 6.488516e+04 4.051081e+04 6.700000e-01 2050
INDIA+ Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 1.130593e+05 9.078888e+04 1.000000e-02 2050
Model a b c d
Linear 44050.10 36.095147 NA NA
Exponential 0.00 0.010000 NA NA
Logaritmic -190072.15 46707.316080 NA NA
Poli Quadradic 41800.29 22.728926 0.002752 NA
Poli Cubic 12042.79 37.552416 0.005570 -0.000001
Logistic 305769.24 -1.990301 0.000718 -12987.458259
Sigmoid 289261.84 0.000772 2882.929875 NA
Sinusoidal -14413.03 -0.023822 -23.567115 163108.414452


LATIN AM

Region Model Eq RMSE MAE R2 Time
LATIN AM Linear diff_deaths ~ a + b * diff_emit 5.011200e+03 3.636950e+03 4.000000e-01 2030
LATIN AM Exponential a * exp(b * diff_emit) 4.991870e+03 3.406230e+03 4.100000e-01 2030
LATIN AM Logaritmic a + b * log(diff_emit) 5.289270e+03 3.988580e+03 2.600000e-01 2030
LATIN AM Poli Quadradic a + b * diff_emit + c * diff_emit^2 4.870850e+03 3.310220e+03 4.400000e-01 2030
LATIN AM Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 4.858710e+03 3.274800e+03 4.400000e-01 2030
LATIN AM Logistic (a / (1+exp(-(b + c*diff_emit))))+d 4.859870e+03 3.257010e+03 4.400000e-01 2030
LATIN AM Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 4.884060e+03 3.196060e+03 4.300000e-01 2030
LATIN AM Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 6.438810e+03 4.162710e+03 2.000000e-02 2030
LATIN AM Linear diff_deaths ~ a + b * diff_emit 1.123907e+04 8.553740e+03 1.500000e-01 2050
LATIN AM Exponential a * exp(b * diff_emit) 2.479010e+10 1.998558e+09 -4.124177e+12 2050
LATIN AM Logaritmic a + b * log(diff_emit) 1.113209e+04 9.181290e+03 8.000000e-02 2050
LATIN AM Poli Quadradic a + b * diff_emit + c * diff_emit^2 1.113143e+04 8.720240e+03 1.700000e-01 2050
LATIN AM Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 1.109950e+04 8.657650e+03 1.700000e-01 2050
LATIN AM Logistic (a / (1+exp(-(b + c*diff_emit))))+d 1.115190e+04 8.699150e+03 1.700000e-01 2050
LATIN AM Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 1.127514e+04 8.544960e+03 1.500000e-01 2050
LATIN AM Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 1.219199e+04 9.497660e+03 0.000000e+00 2050
Model a b c d
Linear 49.26296 4.038523 NA NA
Exponential 0.00000 0.010000 NA NA
Logaritmic -19459.21004 3741.591160 NA NA
Poli Quadradic -684.89766 6.390511 -0.000760 NA
Poli Cubic -1476.13665 6.070432 0.000073 0.000
Logistic -111615.62573 -1.591223 -0.000385 18422.934
Sigmoid 14163.14769 0.001508 1699.109592 NA
Sinusoidal -877.78853 -0.172807 -187.056998 7136.872


MIDDLE EAST

Region Model Eq RMSE MAE R2 Time
MIDDLE EAST Linear diff_deaths ~ a + b * diff_emit 1.727050e+03 1.093390e+03 4.400000e-01 2030
MIDDLE EAST Exponential a * exp(b * diff_emit) 1.861510e+03 1.275680e+03 3.500000e-01 2030
MIDDLE EAST Logaritmic a + b * log(diff_emit) 1.996710e+03 1.413620e+03 2.600000e-01 2030
MIDDLE EAST Poli Quadradic a + b * diff_emit + c * diff_emit^2 1.718080e+03 1.093510e+03 4.400000e-01 2030
MIDDLE EAST Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 1.710570e+03 1.087800e+03 4.500000e-01 2030
MIDDLE EAST Logistic (a / (1+exp(-(b + c*diff_emit))))+d 1.725590e+03 1.087380e+03 4.400000e-01 2030
MIDDLE EAST Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 1.679580e+03 1.065690e+03 4.700000e-01 2030
MIDDLE EAST Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 2.290800e+03 1.726250e+03 1.000000e-02 2030
MIDDLE EAST Linear diff_deaths ~ a + b * diff_emit 3.450900e+03 2.144480e+03 2.900000e-01 2050
MIDDLE EAST Exponential a * exp(b * diff_emit) 2.398032e+14 1.037548e+13 -3.423862e+21 2050
MIDDLE EAST Logaritmic a + b * log(diff_emit) 3.621960e+03 2.500890e+03 1.500000e-01 2050
MIDDLE EAST Poli Quadradic a + b * diff_emit + c * diff_emit^2 3.447350e+03 2.159420e+03 2.900000e-01 2050
MIDDLE EAST Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 3.391090e+03 2.192970e+03 3.200000e-01 2050
MIDDLE EAST Logistic (a / (1+exp(-(b + c*diff_emit))))+d 3.444990e+03 2.176600e+03 2.900000e-01 2050
MIDDLE EAST Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 3.504940e+03 2.215840e+03 2.700000e-01 2050
MIDDLE EAST Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 4.079000e+03 2.901390e+03 1.000000e-02 2050
Model a b c d
Linear 1010.5133 1.557196 NA NA
Exponential 0.0000 0.010000 NA NA
Logaritmic -7475.9393 1623.046002 NA NA
Poli Quadradic 891.7179 1.808751 -0.000064 NA
Poli Cubic 1229.6299 2.526799 -0.000772 0.000
Logistic -905828.3922 -4.097505 -0.000136 15644.917
Sigmoid 23301.0887 0.000427 5819.196827 NA
Sinusoidal -555.6003 -0.009354 -81.169791 4125.954


NORTH AM

Region Model Eq RMSE MAE R2 Time
NORTH AM Linear diff_deaths ~ a + b * diff_emit 1.036107e+04 8.713120e+03 2.300000e-01 2030
NORTH AM Exponential a * exp(b * diff_emit) 4.336109e+06 1.935098e+05 -1.350126e+05 2030
NORTH AM Logaritmic a + b * log(diff_emit) 1.115859e+04 9.605940e+03 1.100000e-01 2030
NORTH AM Poli Quadradic a + b * diff_emit + c * diff_emit^2 1.035437e+04 8.745630e+03 2.300000e-01 2030
NORTH AM Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 1.015053e+04 8.457630e+03 2.600000e-01 2030
NORTH AM Logistic (a / (1+exp(-(b + c*diff_emit))))+d 9.334750e+03 6.895000e+03 3.700000e-01 2030
NORTH AM Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 9.546820e+03 7.124180e+03 3.500000e-01 2030
NORTH AM Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 1.086939e+04 8.462500e+03 1.500000e-01 2030
NORTH AM Linear diff_deaths ~ a + b * diff_emit 1.010372e+04 8.384060e+03 1.100000e-01 2050
NORTH AM Exponential a * exp(b * diff_emit) 1.079916e+23 4.363006e+21 -1.019814e+38 2050
NORTH AM Logaritmic a + b * log(diff_emit) 1.018979e+04 8.852110e+03 2.000000e-02 2050
NORTH AM Poli Quadradic a + b * diff_emit + c * diff_emit^2 9.994620e+03 8.440790e+03 1.300000e-01 2050
NORTH AM Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 9.970230e+03 8.365970e+03 1.300000e-01 2050
NORTH AM Logistic (a / (1+exp(-(b + c*diff_emit))))+d 9.986440e+03 8.395290e+03 1.300000e-01 2050
NORTH AM Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 1.010324e+04 8.431880e+03 1.100000e-01 2050
NORTH AM Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 1.063693e+04 8.833740e+03 1.000000e-02 2050
Model a b c d
Linear 3732.790 1.856968 NA NA
Exponential 0.000 0.010000 NA NA
Logaritmic -1545.622 1364.901815 NA NA
Poli Quadradic 4237.407 2.538829 -0.000246 NA
Poli Cubic 3503.374 2.924777 -0.000138 0.000
Logistic 20165.063 0.630804 0.000812 -9528.219
Sigmoid 10760.653 0.000977 621.027209 NA
Sinusoidal 1537.150 0.085141 79.708444 7437.521


PAC OECD

Region Model Eq RMSE MAE R2 Time
PAC OECD Linear diff_deaths ~ a + b * diff_emit 3351.52 2478.27 0.39 2030
PAC OECD Exponential a * exp(b * diff_emit) 3664.16 2762.97 0.27 2030
PAC OECD Logaritmic a + b * log(diff_emit) 3683.26 2746.68 0.25 2030
PAC OECD Poli Quadradic a + b * diff_emit + c * diff_emit^2 3299.72 2414.22 0.41 2030
PAC OECD Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 3261.41 2419.24 0.42 2030
PAC OECD Logistic (a / (1+exp(-(b + c*diff_emit))))+d 3309.83 2427.01 0.40 2030
PAC OECD Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 3264.95 2435.89 0.42 2030
PAC OECD Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 4149.24 3006.87 0.06 2030
PAC OECD Linear diff_deaths ~ a + b * diff_emit 5106.15 4083.20 0.19 2050
PAC OECD Exponential a * exp(b * diff_emit) 5298.65 4307.35 0.13 2050
PAC OECD Logaritmic a + b * log(diff_emit) 5174.38 4325.18 0.12 2050
PAC OECD Poli Quadradic a + b * diff_emit + c * diff_emit^2 4947.68 4056.50 0.24 2050
PAC OECD Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 4911.43 3985.27 0.25 2050
PAC OECD Logistic (a / (1+exp(-(b + c*diff_emit))))+d 4969.85 4020.52 0.24 2050
PAC OECD Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 5005.33 4032.41 0.23 2050
PAC OECD Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 5671.21 4469.73 0.01 2050
Model a b c d
Linear 1516.4302 4.856754 NA NA
Exponential 3062.1994 0.000626 NA NA
Logaritmic -6724.5766 1907.148852 NA NA
Poli Quadradic 698.6262 9.495014 -0.003199 NA
Poli Cubic 362.9588 8.443650 0.000157 -0.000002
Logistic 15675.2832 -0.092405 0.002268 -7084.599849
Sigmoid 8452.8808 0.003813 529.048078 NA
Sinusoidal -628.4997 0.222444 82.930376 4801.342603


REF ECON

Region Model Eq RMSE MAE R2 Time
REF ECON Linear diff_deaths ~ a + b * diff_emit 9445.79 6774.89 0.72 2030
REF ECON Exponential a * exp(b * diff_emit) 11131.56 8200.62 0.61 2030
REF ECON Logaritmic a + b * log(diff_emit) 15740.59 12845.00 0.25 2030
REF ECON Poli Quadradic a + b * diff_emit + c * diff_emit^2 9419.82 6633.76 0.72 2030
REF ECON Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 8828.27 5887.90 0.75 2030
REF ECON Logistic (a / (1+exp(-(b + c*diff_emit))))+d 8845.81 5817.34 0.75 2030
REF ECON Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 8849.60 5787.15 0.75 2030
REF ECON Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 17110.39 12937.06 0.07 2030
REF ECON Linear diff_deaths ~ a + b * diff_emit 18133.20 15067.89 0.13 2050
REF ECON Exponential a * exp(b * diff_emit) 28367481.31 1651221.27 -2139368.40 2050
REF ECON Logaritmic a + b * log(diff_emit) 18336.20 15641.66 0.05 2050
REF ECON Poli Quadradic a + b * diff_emit + c * diff_emit^2 17334.93 14575.77 0.20 2050
REF ECON Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 17167.42 14367.80 0.22 2050
REF ECON Logistic (a / (1+exp(-(b + c*diff_emit))))+d 17343.88 14232.87 0.20 2050
REF ECON Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 17448.83 14292.21 0.19 2050
REF ECON Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 19337.40 16177.03 0.01 2050
Model a b c d
Linear 7424.567 6.149844 NA NA
Exponential 0.000 0.010000 NA NA
Logaritmic -8802.217 3975.511340 NA NA
Poli Quadradic 4899.101 17.043288 -0.003844 NA
Poli Cubic 2497.484 15.480451 0.000252 -0.000001
Logistic 35014.627 -0.596941 0.002734 -12066.497073
Sigmoid 22666.883 0.004664 536.440900 NA
Sinusoidal 2133.041 0.060433 87.241236 18104.346180


REST ASIA

Region Model Eq RMSE MAE R2 Time
REST ASIA Linear diff_deaths ~ a + b * diff_emit 1.739845e+04 1.328592e+04 6.600000e-01 2030
REST ASIA Exponential a * exp(b * diff_emit) 1.982317e+04 1.555913e+04 5.600000e-01 2030
REST ASIA Logaritmic a + b * log(diff_emit) 2.156816e+04 1.711853e+04 4.300000e-01 2030
REST ASIA Poli Quadradic a + b * diff_emit + c * diff_emit^2 1.709366e+04 1.269043e+04 6.700000e-01 2030
REST ASIA Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 1.695522e+04 1.261580e+04 6.800000e-01 2030
REST ASIA Logistic (a / (1+exp(-(b + c*diff_emit))))+d 1.678423e+04 1.214586e+04 6.800000e-01 2030
REST ASIA Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 1.688910e+04 1.217400e+04 6.800000e-01 2030
REST ASIA Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 2.973495e+04 2.361709e+04 1.000000e-02 2030
REST ASIA Linear diff_deaths ~ a + b * diff_emit 4.243853e+04 3.191044e+04 4.500000e-01 2050
REST ASIA Exponential a * exp(b * diff_emit) 2.733928e+21 1.335687e+20 -2.295179e+33 2050
REST ASIA Logaritmic a + b * log(diff_emit) 4.104973e+04 3.029391e+04 3.500000e-01 2050
REST ASIA Poli Quadradic a + b * diff_emit + c * diff_emit^2 4.226980e+04 3.148097e+04 4.500000e-01 2050
REST ASIA Poli Cubic a + b * diff_emit + c * diff_emit^2 + d * diff_emit^3 3.952184e+04 2.916975e+04 5.200000e-01 2050
REST ASIA Logistic (a / (1+exp(-(b + c*diff_emit))))+d 3.907585e+04 2.777143e+04 5.300000e-01 2050
REST ASIA Sigmoid diff_deaths ~ (a / (1+exp(-(b *(diff_emit-c))))) 3.917518e+04 2.805979e+04 5.300000e-01 2050
REST ASIA Sinusoidal diff_deaths ~a * sin(b*diff_emit+c)+d 5.661733e+04 4.407214e+04 2.000000e-02 2050
Model a b c d
Linear 21167.226 21.579645 NA NA
Exponential 0.000 0.010000 NA NA
Logaritmic -223264.947 39633.289606 NA NA
Poli Quadradic 19920.766 24.959467 -0.000764 NA
Poli Cubic 2728.331 27.370262 0.003995 -0.000001
Logistic 131914.404 -2.211932 0.001347 -12373.921576
Sigmoid 118173.531 0.001565 1809.662569 NA
Sinusoidal -10184.220 0.044389 165.438211 77425.521572