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Table 10 This table summarizes the results from the k − 1 ’LOOCV’ cross-validation analysis

From: Estimating the size of urban populations using Landsat images: a case study of Bo, Sierra Leone, West Africa

Name (1) (2) (3) (4) (5) (6) (7) (8) (9) (10)
Pop Area d \(\sqrt{(}d)\) \({\widehat{d}}\) \(\widehat{d^2}\) \(Er(\sqrt{d})\) \(\%{Er(\sqrt{d}}\) \(Er(\widehat{d^2})\) \(\%{RE(\widehat{d^2})}\)
Roma 139 0.04 3510.72 59.25 70.39 4954.9 11.14 18.8 1444.18 41.14
Bo Central 273 0.066 4137.9 64.33 60.44 3653.53 3.88 6.03 484.37 − 11.71
Toubu 454 0.016 28089.66 167.6 160.05 25617.12 7.55 4.5 2472.54 − 8.80
Salina 580 0.467 1242.8 35.25 33.94 1151.93 1.31 3.73 90.87 − 7.31
Dodo 597 0.049 12126.22 110.12 111.22 12370.87 1.11 1 244.65 2.02
Reservation 637 2.329 273.5 16.54 16.91 285.8 0.37 2.22 12.3 4.50
Kpetewoma 640 0.197 3250.74 57.02 52.63 2769.82 4.39 7.69 480.92 − 14.79
Lewabu 879 0.479 1836.16 42.85 46.54 2166.06 3.69 8.61 329.9 17.97
Tengbewabu 1068 0.68 1571.17 39.64 42.41 1798.53 2.77 6.99 227.36 14.47
New York 1088 1.513 719.3 26.82 23.01 529.41 3.81 14.21 189.89 − 26.40
Komende 1103 0.196 5622.16 74.98 76.52 5856.04 1.54 2.06 233.88 4.16
Kindia Town 1160 0.146 7972.46 89.29 94.36 8903.89 5.07 5.68 931.43 11.68
New Site 1248 0.686 1818.17 42.64 47.27 2234.43 4.63 10.86 416.26 22.89
Yemoh Town 1858 0.404 4602.47 67.84 75.01 5626.04 7.17 10.56 1023.57 22.24
Median (abs) 1078.00 0.35 4370.19 66.09 67.11 4504.31 3.85 5.57 424.25 11.15
Mean (abs) 1297.70 0.48 6180.05 69.14 69.00 6098.19 3.89 7.41 568.21 14.58
  1. For each section, col (1) is the section population, Col (2) is the area in \(km^2\), and column (3) is the population density \(d = persons/area\). Col (4) is the transform \(\sqrt{d}\), col (5) is the estimate \(\widehat{\sqrt{d}}\), and (6) is the back-transformed estimate of \({\hat{d}}\). Cols (7) and (8) are the error (Er) and RE) of the estimated variable \(\widehat{\sqrt{d}}\); and cols (9) and (10) are the corresponding error functions for the back-transformed estimate of d