Table 1 For random design RS with sample size of 100, we show the sample size needed to achieve a similar accuracy using an adaptive design AS.
From: Finding hotspots: development of an adaptive spatial sampling approach
Country | \(\Vert {\mathscr {A}}_i\Vert\) | Num. obsv. | Accuracy (%) | PPV (%) | Sensitivity (%) | MSE (\(\times 10^{-4}\)) | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
RS | AS | RS | AS | RS | AS | RS | AS | RS | AS | ||
Côte d’Ivoire | 1 | 100 | 27 | 85.2 | 85.3 | 64.9 | 78.6 | 64.8 | 65.1 | 17.3 | 20.5 |
10 | 100 | 30 | 85.0 | 85.3 | 78.6 | 78.7 | 64.7 | 65.2 | 16.5 | 20.4 | |
50 | 100 | 50 | 85.1 | 85.5 | 79.2 | 78.6 | 64.3 | 65.5 | 17.7 | 20.0 | |
Malawi | 1 | 100 | 36 | 81.8 | 81.9 | 80.8 | 80.6 | 59.9 | 59.4 | 14.0 | 14.9 |
10 | 100 | 40 | 81.6 | 82.0 | 79.5 | 80.5 | 60.8 | 59.7 | 14.1 | 15.0 | |
50 | 100 | 50 | 82.1 | 82.1 | 80.3 | 80.3 | 61.9 | 60.4 | 13.8 | 14.5 | |
Haiti | 1 | 100 | 31 | 82.4 | 82.6 | 70.3 | 75.7 | 43.0 | 35.0 | 1.0 | 1.4 |
10 | 100 | 30 | 81.5 | 81.6 | 71.7 | 71.0 | 38.9 | 36.4 | 1.0 | 1.5 | |
50 | 100 | 50 | 81.5 | 82.3 | 70.8 | 70.5 | 38.1 | 39.8 | 0.9 | 1.5 | |
Philippines | 1 | 100 | 7 | 95.2 | 95.2 | 93.7 | 94.4 | 69.7 | 67.7 | 2.5 | 4.3 |
10 | 100 | 10 | 95.1 | 95.2 | 94.1 | 93.6 | 68.9 | 68.6 | 2.3 | 5.1 | |
50 | 100 | 50 | 95.2 | 95.6 | 94.6 | 85.0 | 68.9 | 79.8 | 2.7 | 5.5 | |
