Skip to main content

Table 2 Correlation test among predictors

From: Quantifying predictors for the spatial diffusion of avian influenza virus in China

TR

1

2

3

4

5

6

7

8

9

10

 1 Poultry dens

 

0.96

−0.3

−0.84

0.7

0.66

0.28

0.89

0.98

0.91

 2 Farm market

  

−0.18

−0.69

0.65

0.67

0.39

0.93

0.97

0.87

 3 Forest Volume

   

0.62

−0.02

0.35

0.7

−0.32

−0.28

−0.21

 4 Nature reserve

    

−0.65

−0.26

0.08

−0.76

−0.8

−0.73

 5 Temperature

     

0.52

0.65

0.6

0.76

0.82

 6 Humidity

      

0.69

0.36

0.65

0.77

 7 Water resource

       

0.2

0.37

0.48

 8 Human dens

        

0.9

0.7

 9 Transportation

         

0.94

 10 Sample size

          

ED

1

2

3

4

5

6

7

8

9

10

 1 Poultry dens

 

0.45

−0.319

−0.38

0.21

0.03

−0.12

0.63

0.86

0.6

 2 Farm market

  

−0.25

−0.37

0.41

0.49

−0.08

0.87

0.22

0.36

 3 Forest Volume

   

0.39

0.05

0.2

0.86

−0.46

−0.11

−0.005

 4 Nature reserve

    

−0.03

−0.11

−0.06

−0.53

−0.4

−0.57

 5 Temperature

     

0.86

0.09

0.15

0.04

0.45

 6 Humidity

      

0.36

0.08

0.05

0.59

 7 Water resource

       

−0.29

0.2

0.42

 8 Human dens

        

0.32

0.23

 9 Transportation

         

0.79

 10 Sample size

          
  1. The values in the cell represent the correlation coefficient of the two predictors in the column and row, >0.5 indicates a supported positive correlation and < −0.5 indicates a supported negative correlation. The predictors which have weak correlation with others are put into the same GLM analysis, with the correlation coefficient values marked in bold