Additional file 1 --- Rotated component matrix

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Additional file 1 --- Rotated component matrix

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-0.04. 0.05. 0.12. -0.03. -0.13. 0.22. 0.02. -0.03. -0.21. 0.65. -0.16. 4. City. -0.10 ... 0.02. -0.13. 6. Field crop. 0.28. -0.10. 0.03. 0.14. -0.15. -0.28. 0.70. -0.06. -0.16.

Additional file 1 --- Rotated component matrix obtained from factor analysis

S. No

Land-use type

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26

Aquaculture land Build-up village Cemetery City Deciduous forest Field crop Forest plantation Gasoline station/workshop Golf course Horticulture Industrial land Institutional land Landfill Marsh/swamp Marsh/swamp/rice paddy Mine Natural water body Orchard Paddy field Pasture/farm house Perennial Perennial/orchard Pit Rangeland Recreation area Reservoir Transportation/communica tion

27

Factor 1

Factor 2

Factor 3

Factor 4

Factor 5

Factor 6

Factor 7

Factor 8

Factor 9

Factor 10

Factor 11

Factor 12

-0.04 -0.20 -0.23 -0.10 0.28 0.28 0.06 -0.01 -0.02 0.26 0.00 -0.09 -0.20 -0.05 -0.03 -0.11 -0.13 0.70 -0.56 0.14 0.74 0.22 0.04 0.60 0.01 -0.05

-0.02 0.11 -0.04 -0.03 -0.04 -0.10 -0.10 0.00 0.89 -0.04 -0.03 -0.12 -0.01 -0.01 -0.03 -0.01 0.41 -0.03 0.00 -0.02 -0.04 -0.01 -0.04 0.05 0.90 -0.01

-0.06 -0.18 0.05 -0.03 0.87 0.03 -0.06 -0.01 -0.01 -0.01 0.00 -0.05 -0.11 -0.04 -0.03 0.92 -0.10 -0.02 -0.29 -0.03 0.02 -0.04 -0.05 0.09 -0.02 0.03

-0.05 0.05 0.12 -0.01 -0.01 0.14 -0.02 0.17 -0.02 -0.13 0.04 0.07 0.03 0.05 -0.06 0.00 -0.08 -0.11 -0.17 0.85 0.03 0.02 -0.13 0.13 0.00 0.86

0.79 -0.28 -0.03 0.84 -0.06 -0.15 -0.17 -0.04 -0.03 -0.08 0.06 -0.08 -0.15 -0.02 -0.01 -0.04 0.06 -0.14 -0.23 -0.02 -0.06 -0.04 -0.06 0.00 -0.03 -0.06

0.06 0.62 -0.13 -0.17 -0.10 -0.28 -0.25 -0.05 -0.03 0.07 -0.02 0.63 -0.49 0.02 0.02 -0.01 0.56 -0.02 -0.04 -0.09 -0.06 0.02 -0.01 -0.09 0.01 0.16

-0.06 -0.07 0.22 0.02 0.09 0.70 -0.45 -0.04 -0.01 -0.12 0.04 0.01 0.11 0.01 -0.01 -0.06 0.06 0.03 -0.43 0.01 0.09 -0.16 0.70 -0.03 -0.04 -0.02

0.00 0.03 0.02 -0.05 -0.02 -0.06 -0.09 0.79 -0.02 0.00 0.10 -0.05 -0.01 0.09 0.86 -0.03 0.00 -0.08 -0.16 -0.09 -0.02 -0.04 -0.09 -0.01 -0.01 0.19

-0.08 0.38 -0.03 0.07 -0.02 -0.16 -0.29 -0.04 -0.02 0.68 0.10 0.02 0.19 0.09 -0.03 -0.04 -0.06 -0.04 -0.10 -0.08 -0.01 0.04 -0.18 0.06 -0.02 0.01

-0.13 0.10 -0.21 0.27 -0.09 -0.22 0.20 0.14 -0.01 -0.05 0.81 -0.08 0.03 -0.08 -0.03 0.05 0.36 0.13 -0.08 -0.14 0.01 0.11 0.30 -0.36 -0.05 0.14

-0.02 -0.06 0.65 -0.05 0.02 -0.06 -0.18 -0.03 0.00 0.13 -0.02 -0.12 -0.16 -0.09 0.00 -0.01 -0.02 0.24 0.12 0.27 -0.04 0.79 -0.03 -0.01 -0.03 -0.13

-0.07 -0.16 -0.16 0.04 -0.13 -0.22 -0.17 0.19 0.03 -0.02 -0.10 0.04 -0.18 0.81 -0.07 0.06 -0.30 0.28 0.32 -0.11 -0.04 0.02 0.09 -0.24 -0.03 0.17

-0.18

-0.04

-0.03

0.05

0.05

-0.07

-0.04

-0.08

0.78

0.16

-0.12

0.12

These numbers in the matrix are the proportion of each variable's variance that can be explained by the factors. The values given in red have high loading. For example, orchard, perennial and rangeland have high loading value in column one, and all are considered in factor 1.