Table 5 Summary of explanatory variables and adjacent elements in the MGWR Model.

From: Spatial and temporal evolution patterns and driving mechanisms of rural settlements: a case study of Xunwu County, Jiangxi Province, China

 

2010

2020

Factors

Adjacent Elements (Element Percentage)

Significant (element percentage))

Adjacent Elements (Element Percentage)

Significant (element percentage)

X1

96 (54.55)

72 (40.91)

31 (17.61)

53 (30.11)

X2

142 (80.68)

0 (0.00)

176 (100.00)

0 (0.00)

X3

176 (100.00)

0 (0.00)

86 (48.86)

19 (10.80)

X4

176 (100.00)

0 (0.00)

142 (80.68)

0 (0.00)

X5

38 (21.59)

47 (26.70)

56 (31.82)

0 (0.00)

X6

64 (36.36)

19 (10.80)

176 (100.00)

0 (0.00)

X7

123 (69.89)

134 (76.14)

176 (100.00)

176 (100.00)

X8

176 (100.00)

176 (100.00)

176 (100.00)

0 (0.00)

X9

30 (17.05)

111 (63.07)

30 (17.05)

58 (32.95)

X11

152 (86.36)

0 (0.00)

137 (77.84)

27 (15.34)

X12

50 (28.41)

176 (100.00)

48 (27.27)

176 (100.00)

X14

109 (61.93)

176 (100.00)

31 (17.61)

162 (92.05)

X15

73 (41.48)

176 (100.00)

176 (100.00)

176 (100.00)

  1. Note: Best GWR bandwidth (neighbouring features): 86 (2010), 95 (2020). The numbers in parentheses for the neighbouring features range from 0 to 100% and can be interpreted as local, regional and global scales based on geographical backgrounds from low to high; the numbers in italic parentheses represent the percentage of features with significant (P < 0. 1) coefficients of explanatory variables.
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