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Table 3 Cross-classification of the frequency (percentage %) of all sampling days comparing 30 minute time-location segments as reported by subjects in their daily diaries and as determined from the automated method

From: Using Global Positioning Systems (GPS) and temperature data to generate time-activity classifications for estimating personal exposure in air monitoring studies: an automated method

Daily diary1

Automated method

Home

In transit

School

Outdoors

Indoors

Missing GPS

Total

Home

11822 (64.3)

109 (0.6)

145 (0.8)

130 (0.7)

62 (0.3)

415 (2.3)

12683 (69)

In transit

145 (0.8)

91 (0.5)

43 (0.2)

40 (0.2)

30 (0.2)

52 (0.3)

401 (2.2)

School

230 (1.3)

92 (0.5)

2278 (12.4)

120 (0.7)

105 (0.6)

438 (2.4)

3263 (17.8)

Outdoors

298 (1.6)

39 (0.2)

123 (0.7)

98 (0.5)

48 (0. 3)

44 (0.2)

650 (3.5)

Indoors

398 (2.2)

141 (.8)

46 (0.3)

87 (0.5)

318 (1.7)

113 (0.6)

1103 (6.0)

Missing diary

199 (1.1)

6 (0)

5 (0)

13 (0.1)

9 (0)

51 (0. 3)

283 (1.5)

Total

13092 (71.2)

478 (2.6)

2640 (14.4)

488 (2.7)

572 (3.1)

1113 (6.1)

18383 (100)

  1. 1 Proportion of concordance observed (P o ) = 0.795 (95% confidence interval: 0.787, 0.800).
  2. Agreement statistic: Gwet’s AC1 = 0.778 (95% confidence interval: 0.770, 0.783).