Table 7 Regression models for the interrelationship between pairs of forest structural variables using GEDI footprints and predicted pixel values.

From: Maps of forest vertical structure for Colombia, a megadiverse country

Regression model

GEDI Footprints values

Predicted pixel values

Type

Model

R2

P value

F value

R2

P value

F value

Linear

PAI~CH

0.94

2.2e-16

5416

0.89

2.2e-16

14700

Quadratic

FHD~CH

0.88

2.2e-16

8879

0.94

2.2e-16

27580

Quadratic

COVER~CH

0.95

2.2e-16

27580

0.93

2.2e-16

18300

Linear

RH50~CH

0.88

2.2e-16

11610

0.85

2.2e-16

25790

Quadratic

FHD~PAI

0.83

2.2e-16

4320

0.65

2.2e-16

12720

Quadratic

COVER~PAI

0.96

2.2e-16

31530

0.92

2.2e-16

68340

Quadratic

RH50~PAI

0.88

2.2e-16

12900

0.83

2.2e-16

24500

Quadratic

FHD~COVER

0.89

2.2e-16

7528

0.77

2.2e-16

23720

Quadratic

FHD~RH50

0.79

2.2e-16

4686

0.67

2.2e-16

10600

Quadratic

COVER~RH50

0.84

2.2e-16

10820

0.83

2.2e-16

18280

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