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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).