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.ID
a numeric vector
domain.ID
a numeric vector
biomass.ha
a numeric vector of the variable of interest
mean.canopy.ht
a 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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