Table 1.
Performance metrics of population comparison from the reference dataset (SCB—Swedish Statistical Bureau) to those from the generated datasets at different administrative boundary levels, using WorldPop and GHSPop datasets.
Administrative boundaries | n | R-squared | RMSE | MAPE | %MAE | |
---|---|---|---|---|---|---|
WorldPop | Grid (1 km) | 534,712 | 0.49 | 13 | 118.42 | 73.41 |
DeSo | 5985 | 0.41 | 140 | 121.85 | 67.68 | |
RegSo | 3363 | 0.53 | 191 | 115.17 | 61.57 | |
Municipality | 290 | 0.74 | 1484 | 47.34 | 38.13 | |
GHSPop | Grid (1 km) | 534,712 | 0.63 | 11 | 168.87 | 74.07 |
DeSo | 5985 | 0.50 | 105 | 149.91 | 65.2 | |
RegSo | 3363 | 0.67 | 138 | 126.73 | 55.66 | |
Municipality | 290 | 0.80 | 1003 | 43.18 | 31.32 |
The administrative levels include Grid (1 km), Demographic Statistical Areas (DeSo), Regional Statistical Areas (RegSo), and Municipality. The performance is evaluated based on R-squared, Root Mean Squared Error (RMSE), Mean Absolute Error (MAPE) and Percentage Mean Absolute Error (%MAE).