Table 4 Pairwise comparison matrix of coconut 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

 

Elevation

Slope

Soil depth

Soil texture

Soil drainage

Rainfall

Temperature

Soil pH

SOC

Weight

Elevation

1.00

0.50

0.20

0.33

0.25

0.14

0.17

2.00

3.00

0.04

Slope

2.00

1.00

0.25

0.50

0.33

0.17

0.20

3.00

5.00

0.06

Soil depth

5.00

4.00

1.00

3.00

2.00

0.33

0.50

6.00

7.00

0.15

Soil texture

3.00

2.00

0.33

1.00

0.50

0.20

0.25

4.00

5.00

0.08

Soil drainage

4.00

3.00

0.50

2.00

1.00

0.25

0.33

5.00

7.00

0.11

Rainfall

7.00

6.00

3.00

5.00

4.00

1.00

2.00

8.00

9.00

0.31

Temperature

6.00

5.00

2.00

4.00

3.00

0.50

1.00

7.00

8.00

0.22

Soil pH

0.50

0.33

0.17

0.25

0.20

0.13

0.14

1.00

2.00

0.03

SOC

0.33

0.20

0.14

0.20

0.14

0.11

0.13

0.50

1.00

0.02

  1. Consistency index (CI) = \(({\lambda }_{max}-n )/(n-1)\)  = 0.1034.
  2. Number of parameters (n) = 9.
  3. Maximum Eigenvalue \({(\lambda }_{\text{max}})= 9.8274\).
  4. Random index (RI) = 1.46.
  5. Consistency ratio (CR) = CI/RI = 0.0708.