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Table 6 Spearman’s correlation of the evaluated metrics and accuracy of predictions calculated on the two types of mobility sequences of various spatio-temporal resolution

From: Explaining human mobility predictions through a pattern matching algorithm

 

Next-place [%]

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1688 m

204m

33 m

1688 m

204m

33 m

1-hour

30-minutes

ESR

75.38

75.26

74.35

76.42

68.24

71.55

73.85

69.25

SR

52.92

62.17

66.25

74.80

79.73

86.35

76.42

83.04

DR

48.83

56.41

55.49

80.93

74.28

73.60

75.89

72.65

Regularity

51.48

46.18

57.93

54.87

53.26

56.15

53.04

56.45

Stationarity

76.55

68.00

65.30

69.94

66.06

NStationarity

76.55

68.00

65.30

69.94

66.06

GA

68.18

71.79

70.39

90.62

89.61

92.50

89.70

91.53

IGA

67.12

69.32

69.85

92.19

91.34

94.50

90.52

93.86

\(\Pi _{\max}\)

63.16

62.64

62.05

74.89

68.08

64.96

70.93

67.70

  1. ESR is an equally sparse repeatability, SR is a sparse repeatability, DR is a dense repeatability, GA is a global alignment measure, and IGA is an iterative global alignment measure. All the correlations are significant at the level of p <0.001. Bold values indicate the best result for each sequence type.