Description Usage Format Source See Also Examples
Above ground forest biomass over all tree species is the variable of interest. Mean canopy height derived from a photogrammetric canopy height model of 20~cm geometric and 10~cm radiometric resolution is the auxiliary variable.
1 |
A data frame with 145 observations on the following 4 variables.
sample.IDa numeric vector
domain.IDa numeric vector
biomass.haa numeric vector of the variable of interest
mean.canopy.hta numeric vector of the auxiliary variable
Breidenbach, J. and Astrup, R. (2012), Small area estimation of forest attributes in the Norwegian National Forest Inventory. European Journal of Forest Research, 131:1255-1267.
JoSAE-package for more examples
1 2 3 | data(JoSAE.sample.data)
## maybe str(JoSAE.sample.data) ; plot(JoSAE.sample.data) ...
plot(biomass.ha~mean.canopy.ht,JoSAE.sample.data)
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