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Table 4 Results of the field validation without the category ‘doctor’

From: Using data from online geocoding services for the assessment of environmental obesogenic factors: a feasibility study

Area Geocoding service True positives: N (% positive)a False positives: N (% positive) False negatives: N Sensitivityb: %
A Google Maps 18 (62.07) 11 (37.93) 13 58.06
A OpenStreetMap 15 (88.24) 2 (11.76) 16 48.39
B Google Maps 29 (90.63) 3 (9.38) 1 96.67
B OpenStreetMap 10 (100) 0 (0) 20 33.33
C Google Maps 48 (69.57) 21 (30.43) 30 61.54
C OpenStreetMap 36 (85.71) 6 (14.29) 42 46.15
D Google Maps 19 (67.86) 9 (32.14) 6 76.00
D OpenStreetMap 21 (80.77) 5 (19.23) 4 84.00
  1. Area A: sparsely populated municipality in the south-west of Bavaria
  2. Area B: area in a medium-sized populated major district town near Munich
  3. Area C: area close to the centre within the densely populated city of Munich
  4. Area D: area with a lower density of amenities within the densely populated city of Munich
  5. aThe percentage of true positives is the positive predictive value (PPV) [PPV = true positives/(true positives + false positives)]
  6. bSensitivity = true positives/(true positives + false negatives)