Table 3 Detection power of natural and human geographical factors on the occurrence proportion of six types of malignant tumors in prefecture-level regions (%).

From: Geographical analysis of malignant tumor incidence and treatment in China

Geographic factor

Respiratory system malignant tumor

Digestive system malignant tumor

Breast system malignant tumor

Reproductive system malignant tumor

Urinary system malignant tumor

Endocrine system malignant tumor

Average

Natural geographic factors

 Average elevation

25.41

8.82

11.51

9.65

20.82

16.63

15.47

 Topographic variation

18.99

3.81

12.05

9.77

20.23

9.78

12.44

 Average temperature in January

18.18

5.57

7.59

3.98

24.71

7.94

11.33

 Average temperature in July

16.65

4.28

5.52

6.93

25.75

9.36

11.42

 Annual precipitation

24.03

6.67

5.78

3.64

23.64

6.19

11.66

 Average annual relative humidity

21.01

2.70

4.81

3.19

27.46

8.09

11.21

 Annual sunshine hours

19.31

4.02

5.80

1.37

24.99

6.01

10.25

 Average annual wind speed

4.26

4.46

7.27

4.91

3.52

5.70

5.02

Human geographic factors

 Income level

7.53

4.14

10.85

3.80

8.23

23.49

9.67

 Urbanization rate

12.90

4.74

23.28

6.19

7.29

17.99

12.07

 Education level

9.14

2.83

8.81

4.04

8.78

9.01

7.10

 Public health resources

4.48

2.25

4.48

4.00

3.16

8.06

4.41

 Water pollution

10.09

3.68

11.69

5.53

8.43

9.00

8.07

 Air pollution

8.79

4.58

4.30

3.51

9.64

3.35

5.70

 Average

14.34

4.47

8.84

5.04

15.48

10.04

 
  1. The q-values reflect the explanatory power of each factor. Although no formal p values are reported, a higher q-value generally indicates stronger association. As a rule of thumb, q-values greater than 0.1 are often interpreted as having moderate to strong explanatory power in spatial analysis.