rpjdl: Avifauna and Vegetation

In ade4: Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences

Description

This data set gives the abundance of 52 species and 8 environmental variables in 182 sites.

Usage

data(rpjdl)

Format

rpjdl is a list of 5 components.

fau

is the faunistic array of 182 sites (rows) and 52 species (columns).

mil

is the array of environmental variables : 182 sites and 8 variables.

frlab

is a vector of the names of species in French.

lalab

is a vector of the names of species in Latin.

lab

is a vector of the simplified labels of species.

Source

Prodon, R. and Lebreton, J.D. (1981) Breeding avifauna of a Mediterranean succession : the holm oak and cork oak series in the eastern Pyrénées. 1 : Analysis and modelling of the structure gradient. Oïkos, 37, 21–38.

Lebreton, J. D., Chessel D., Prodon R. and Yoccoz N. (1988) L'analyse des relations espèces-milieu par l'analyse canonique des correspondances. I. Variables de milieu quantitatives. Acta Oecologica, Oecologia Generalis, 9, 53–67.

References

See a data description at http://pbil.univ-lyon1.fr/R/pdf/pps048.pdf (in French).

Examples

## Not run: 
data(rpjdl)
xy <- dudi.coa(rpjdl$fau, scann = FALSE)$l1
xy1 <- dudi.pca(rpjdl$fau, scal = FALSE, scann = FALSE)$l1

if(adegraphicsLoaded()) {
  g1 <- s.distri(xy, rpjdl$fau, xax = 2, yax = 1, starSize = 0.3, ellipseSize = 0, plab.cex = 0)
  g2 <- s.distri(xy1, rpjdl$fau, xax = 2, yax = 1, starSize = 0.3, ellipseSize = 0, plab.cex = 0)
} else {
  s.distri(xy, rpjdl$fau, 2, 1, cstar = 0.3, cell = 0)
  s.distri(xy1, rpjdl$fau, 2, 1, cstar = 0.3, cell = 0)
}

cca1 <- cca(rpjdl$fau, rpjdl$mil, scan = FALSE)
plot(cca1)

## End(Not run)

ade4 documentation built on May 2, 2019, 5:50 p.m.