spataustria: Tree locations within sample plots in an experimental forest...

In biometrics: Functions and Datasets for Forest Biometrics and Modelling

Tree locations within sample plots in an experimental forest in Austria

Description

The Austrian Research Center for Forests established a spacing experiment with Norway spruce (Picea abies) in the Vienna Woods. In the 'Hauersteig' experiment, several tree-level variables were measured within four sample plots over time. The current dataframe has only the measurements carried out in 1944.

Usage

data(spataustria)

Format

Contains cartesian position of trees, and covariates, in sample plots, as follows:

plot

Plot number.

tree

Tree number.

species

Species code as follows: PCAB=Picea abies, LADC=Larix decidua, PNSY=Pinus sylvestris, FASY=Fagus Sylvatica, QCPE=Quercus petraea, BTPE=Betula pendula.

x.coord

Cartesian position in the X-axis, in m.

y.coord

Cartesian position in the Y-axis, in m.

year

Measurement year.

dbh

diameter at breast-height, in cm.

Source

Data were retrieved from the paper cited below, where several details might be worth reading. For instance, plot size slightly varies among plots: Plot No. 1=2509.7 m^{2}, Plot No. 2=2474.8 m^{2}, Plot No. 3=2415.9 m^{2}, and Plot 4=2482.8 m^{2}.

References

- Kindermann G. Kristofel F, Neumann M, Rossler G, Ledermann T & Schueler. 2018. 109 years of forest growth measurements from individual Norway spruce trees. Sci. Data 5:180077 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1038/sdata.2018.77")}

Examples

data(spataustria)    
head(spataustria)
df<-spataustria
oldpar<-par(mar=c(4,4,0,0))
bord<-data.frame(
 x=c(min(df$x.coord),max(df$x.coord),min(df$x.coord),max(df$x.coord)),
 y=c(min(df$y.coord),min(df$y.coord),max(df$y.coord),min(df$y.coord))
 )
plot(bord,type="n", xlab="x (m)", ylab="y (m)", asp=1, bty='n')
points(df$x.coord,df$y.coord,col=df$plot,cex=0.5) 
par(oldpar)

biometrics documentation built on April 4, 2025, 12:35 a.m.