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Table 6 Effect sizes of LR, by direct use of forest variables

From: The utility of fused airborne laser scanning and multispectral data for improved wind damage risk assessment over a managed forest landscape in Finland

 

Estimate

Std. error

z value

Pr(> |z|)

Wind direction: West

Intercept

-4.961

0.243

-20.461

< 0.0001

isSpruce

0.395

0.330

1.198

0.231

domHtStand

0.420

0.149

2.814

0.005

distToEdgeW

0.171

0.148

1.150

0.250

gapizeW

-0.133

0.186

-0.713

0.476

Wind direction: Northwest

Intercept

-4.970

0.244

-20.370

< 0.0001

isSpruce

0.321

0.328

0.978

0.328

domHtStand

0.388

0.147

2.638

0.008

distToEdgeNW

-0.309

0.199

-1.552

0.121

gapizeNW

-0.294

0.213

-1.381

0.167

Wind direction: North

Intercept

-4.919

0.238

-20.677

< 0.0001

isSpruce

0.302

0.330

0.915

0.360

domHtStand

0.377

0.150

2.517

0.012

distToEdgeN

-0.142

0.181

-0.786

0.432

gapizeN

0.015

0.147

0.099

0.921

  1. Here, isSpruce is a dummy variable, indicating the presence of spruce trees. All other variables are continuous, and have been standardized so that they have a mean of 0.0 and a standard deviation of 1.0
  2. Values that are significant at the p = 0.05 level are highlighted (boldface)