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Table 9 Measured and estimated values of population and population density

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

(1) Name 2) p = Population (3) Measured area in km\(^2\) (4) d = Persons per km\(^2\) (5) Estimated \({\hat{d}}\) (6) Estimated \({\hat{p}}\) (7) RE (%)
Moibawo Farm 135 0.5 270 206.13 103 − 24
Roma 139 0.04 3475 3818.48 153 10
Bo Central 273 0.066 4136.36 3753.27 248 − 9
Toubu 454 0.016 28375 27852.13 446 − 2
Salina 580 0.467 1241.97 1164.25 544 − 6
Dodo 597 0.049 12183.67 12234.85 600 0
Reservation 637 2.329 273.51 282.25 657 3
Kpetewoma 640 0.197 3248.73 2918.91 575 − 10
Lewabu 879 0.479 1835.07 2100.07 1006 14
Tengbewabu 1068 0.68 1570.59 1770.75 1204 13
New York 1088 1.513 719.1 585.41 886 − 19
Komende 1103 0.196 5627.55 5780.18 1133 3
Kindia Town 1160 0.146 7945.21 8806.6 1286 11
New Site 1248 0.686 1819.24 2061.33 1414 13
Yemoh Town 1858 0.404 4599.01 5379.96 2174 17
Njai Town 2298 0.216 10638.89 10524.21 2273 − 1
Kissi Town 2490 0.196 12704.08 12479.6 2446 − 2
Nduvuibu 2552 0.493 5176.47 4803.58 2368 − 7
New London 2873 0.597 4812.4 4487.98 2679 − 7
Kulanda Town 3882 0.294 13204.08 12452.93 3661 − 6
  1. This table lists the (1) section name (2) measured section population (3) measured section area in \(km^2\) (4) population density \(d = Persons/km^2\) (5) the regression-estimated population density \({\hat{d}}\) (6) the estimated population/section \(\hat{p_{i}}=Area*{\hat{d}}\). (7) the % Relative Error (RE) for the density estimation