Table 3 Pairwise comparison matrix of rice suitability using AHP.

From: Crop suitability analysis for the coastal region of India through fusion of remote sensing, geospatial analysis and multi-criteria decision making

 

Rainfall

Temperature

Soil drainage

Soil depth

Soil texture

Slope

Elevation

SOC

Soil pH

Weights

Rainfall

1.00

8.00

1.00

5.00

3.00

6.00

6.00

7.00

9.00

0.29

Temperature

0.13

1.00

0.13

0.20

0.17

0.33

0.33

0.50

2.00

0.03

Soil drainage

1.00

8.00

1.00

3.00

2.00

5.00

5.00

7.00

9.00

0.25

Soil depth

0.20

5.00

0.33

1.00

0.50

3.00

3.00

4.00

7.00

0.11

Soil texture

0.33

6.00

0.50

2.00

1.00

4.00

4.00

5.00

7.00

0.16

Slope

0.17

3.00

0.20

0.33

0.25

1.00

1.00

2.00

5.00

0.06

Elevation

0.17

3.00

0.20

0.33

0.25

1.00

1.00

2.00

5.00

0.06

SOC

0.14

2.00

0.14

0.25

0.20

0.50

0.50

1.00

3.00

0.04

Soil pH

0.11

0.50

0.11

0.14

0.14

0.20

0.20

0.33

1.00

0.02

  1. Consistency index (CI) = \(({\lambda }_{max}-n )/(n-1)\)  = 0.1140.
  2. Number of parameters (n) = 9.
  3. Maximum Eigenvalue \({(\lambda }_{\text{max}})= 9.9122\).
  4. Random index (RI) = 1.46.
  5. Consistency ratio (CR) = CI/RI = 0.0781.