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Table 3 Results of the field validation

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 19 (63.33) 11 (36.67) 13 59.38
A OpenStreetMap 15 (88.24) 2 (11.76) 17 46.88
B Google Maps 58 (89.23) 7 (10.77) 1 98.31
B OpenStreetMap 12 (100) 0 (0) 47 20.34
C Google Maps 144 (71.64) 57 (28.36) 63 69.57
C OpenStreetMap 41 (87.23) 6 (12.77) 166 19.81
D Google Maps 22 (64.71) 12 (35.29) 11 66.67
D OpenStreetMap 21 (80.77) 5 (19.23) 12 63.64
  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)