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Table 2 Distance bin misclassification by geocoding methodology

From: Positional error and time-activity patterns in near-highway proximity studies: an exposure misclassification analysis

Distance group (m)

# of Residences by proximity to highway

Measures of agreement

 

Tiger geocode

Orthophoto corrected

Confirmed match

Sensitivity

Specificity

0–50

30

48

25

52.08%

99.17%

51–150

208

182

169

92.86%

91.61%

151–250

130

145

121

83.45%

98.21%

251–450

72

83

65

78.31%

98.76%

451– 999

30

10

8

80.00%

96.55%

>=1000

177

179

175

97.77%

99.57%

 

Streetmap USA

Orthophoto corrected

Confirmed match

Sensitivity

Specificity

0–50

26

48

24

50.00%

99.67%

51–150

208

182

171

93.96%

92.04%

151–250

112

145

98

67.59%

97.21%

251–450

97

83

61

73.49%

93.62%

451–999

27

10

7

70.00%

96.86%

>=1000

177

179

176

98.32%

99.79%

 

Parcel geocode

Orthophoto corrected

Confirmed match

Sensitivity

Specificity

0–50

41

48

40

83.33%

99.83%

51–150

192

182

180

98.90%

97.42%

151–250

141

145

134

92.41%

98.61%

251–450

86

83

80

96.39%

98.94%

451–999

10

10

8

80.00%

99.69%

>=1000

177

179

176

98.32%

99.79%

  1. The analysis omits those addresses not successfully geocoded to TIGER, StreetMap USA and Parcel datasets (n = 647).
  2. Confirmed match represents the number of residences classified in the distance group by each geocoding method and orthophoto corrected location assignment.
  3. Sensitivity is the percentage of confirmed positive residences for each distance bin (confirmed match divided by orthophoto corrected).
  4. Specificity is the percentage of confirmed negative residential locations for each distance bin (confirmed negative divided by the orthophoto corrected).