Sample plots of the Norwegian National Forest Inventory (NNFI) with a variable of interest and an auxiliary variable

Description

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.

Usage

data(JoSAE.sample.data)

Format

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

Source

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.

See Also

JoSAE-package for more examples

Examples

data(JoSAE.sample.data)
## maybe str(JoSAE.sample.data) ; plot(JoSAE.sample.data) ...
plot(biomass.ha~mean.canopy.ht,JoSAE.sample.data)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(JoSAE)
Loading required package: nlme
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/JoSAE/JoSAE.sample.data.Rd_%03d_medium.png", width=480, height=480)
> ### Name: JoSAE.sample.data
> ### Title: Sample plots of the Norwegian National Forest Inventory (NNFI)
> ###   with a variable of interest and an auxiliary variable
> ### Aliases: JoSAE.sample.data
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(JoSAE.sample.data)
> ## maybe str(JoSAE.sample.data) ; plot(JoSAE.sample.data) ...
> plot(biomass.ha~mean.canopy.ht,JoSAE.sample.data)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>