Table 4.
Agreement statistics on “location” of food retailers for the Locatus dataset.
| By Category | By Subcategory | TP * | FN | FP | TN | Locatus Dataset | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Sensitivity | Specificity | PPV | Kappa | Concordance | ||||||
| Overall | 288 | 27 | 33 | 61 | 0.914 | 0.649 | 0.897 | 0.576 | 0.827 | |
| Urbanization | Urban | 244 | 21 | 31 | 3 | 0.921 | 0.088 | 0.887 | 0.010 | 0.824 |
| Rural | 44 | 6 | 2 | 58 | 0.880 | 0.967 | 0.957 | 0.852 | 0.846 | |
| Grocery stores | Supermarkets | 15 | 0 | 2 | 61 | 1.000 | 0.968 | 0.882 | 0.921 | 0.882 |
| Local product shops | 0 | 1 | 0 | 61 | - | 1.000 | - | - | - | |
| Fruit and vegetable stores | 2 | 1 | 0 | 61 | 0.667 | 1.000 | 1.000 | 0.792 | 0.666 | |
| Bakeries | 8 | 0 | 2 | 61 | 1.000 | 0.968 | 0.800 | 0.873 | 0.800 | |
| Animal product stores | 21 | 4 | 0 | 61 | 0.840 | 1.000 | 1.000 | 0.882 | 0.840 | |
| Natural product stores | 8 | 1 | 0 | 61 | 0.889 | 1.000 | 1.000 | 0.933 | 0.888 | |
| Convenience stores | 6 | 0 | 0 | 61 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | |
| Confectionery stores | 7 | 1 | 6 | 61 | 0.875 | 0.910 | 0.538 | 0.616 | 0.500 | |
| Food outlets | Restaurants | 124 | 10 | 13 | 61 | 0.925 | 0.824 | 0.905 | 0.757 | 0.843 |
| Fast food restaurants | 31 | 0 | 2 | 61 | 1.000 | 0.968 | 0.939 | 0.953 | 0.939 | |
| Take away restaurants | 18 | 1 | 4 | 61 | 0.947 | 0.938 | 0.818 | 0.839 | 0.782 | |
| Cafés | 48 | 8 | 4 | 61 | 0.857 | 0.938 | 0.923 | 0.800 | 0.800 | |
TP, true positive; FN, false negative; FP, false positive; TN, true negative; PPV, positive predictive value. * Number of stores correctly located (246) and number of stores wrongly classified (42) but found to be in the correct location.