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Table 2 Comparative statistics for comparisons between partial and complete GPE3 data sets for differing data volumes and movement characteristics

From: Maximising the value of transmitted data from PSATs tracking marine fish: a case study on Atlantic bluefin tuna

Metric

Data, %

Short distance (n = 3)

Long distance (n = 9)

Spatial similarity

5

0.8 ± 0.05

0.09 ± 0.17

10

0.85 ± 0.03

0.54 ± 0.15

20

0.84 ± 0.01

0.67 ± 0.09

30

0.86 ± 0.02

0.79 ± 0.04

40

0.87 ± 0.01

0.83 ± 0.06

Grand mean (χ2 = 19.4, P ≤ 0.001)

 

0.84 ± 0.03

0.42 ± 0.32

12-hourly 99% area (km2)

5

148,069 ± 19,613

337,311 ± 44,715

10

132,179 ± 14,525

271,913 ± 35,282

20

97,091 ± 11,247

189,168 ± 27,064

30

81,775 ± 9873

131,732 ± 30,656

40

71,399 ± 10,639

111,589 ± 15,713

Grand mean (t = − 9.9, P ≤ 0.001)

 

106,265 ± 4010

208,343 ± 10,668

Distance from complete data location (km; RMSE)

5

267 ± 86 (345 ± 114)

2,213 ± 647 (2358 ± 633)

10

183 ± 129 (232 ± 176)

696 ± 526 (947 ± 582)

20

106 ± 8 (137 ± 9)

302 ± 109 (471 ± 210)

30

88 ± 31 (111 ± 44)

157 ± 15 (221 ± 16)

40

94 ± 38 (117 ± 51)

144 ± 6 (205 ± 30)

Grand mean (t = − 7.6, P ≤ 0.001)

 

148 ± 48 (188 ± 100)

703 ± 303 (840 ± 900)

SST difference (°C)

5

1.07 ± 1.16 °C

8.92 ± 3.9 °C

10

0.35 ± 0.11 °C

1.74 ± 1.95 °C

20

0.44 ± 0.08 °C

0.38 ± 0.03 °C

30

0.37 ± 0.09 °C

0.3 ± 0.07 °C

40

0.3 ± 0.01 °C

0.3 ± 0.07 °C

Grand mean (t = − 2.5, P = 0.03)

 

0.54 ± 0.59 °C

4.29 ± 4.76 °C

  1. Values provided are grand means calculated first at the data set level and second at the data volume level. Data in the 5% group are highlighted as this is the group, where the largest errors occurred. Test statistics are provided for Kruskal Wallis (Spatial Similarity) and generalised linear mixed models (other variables). For distance to complete data location, values are summarised both as mean great circle distance and root mean squared distance (RMSE) in parentheses
  2. Bold values identify grand means for individual metrics