atlas {ade4} | R Documentation

## Small Ecological Dataset

### Description

`atlas` is a list containing three kinds of information about 23 regions :
geographical coordinates, meteorology and bird presences.

### Usage

    data(atlas)

### Format

This list contains the following objects:

area
  is a convex hull of 23 geographical regions.
xy
  are the coordinates of the region centers and altitude (in meters).
names.district
  is a vector of region names.
meteo
  is a data frame with 7 variables: min and max temperature in january; min and max temperature in july; january, july and total rainfalls.
birds
  is a data frame with 15 variables (species).
alti
  is a data frame with 3 variables altitude in percentage [0,800], ]800,1500] and ]1500,5000].

### Source

Extract from:
Lebreton, Ph. (1977) Les oiseaux nicheurs rhonalpins. Atlas ornithologique Rhone-Alpes. Centre Ornithologique Rhone-Alpes, Université Lyon 1, 69621 Villeurbanne. Direction de la Protection de la Nature, Ministère de la Qualité de la Vie. 1–354.

### Examples

    data(atlas)
    op <- par(no.readonly = TRUE)
    par(mfrow = c(2,2))
    area.plot(atlas$area, cpoin = 1.5)
    area.plot(atlas$area, lab = atlas$names.district, clab = 1)
    x <- atlas$meteo$mini.jan

    names(x) <- row.names(atlas$meteo)
    area.plot(atlas$area, val = x, ncl = 12, sub = "Temp Mini January",
        csub = 2, cleg = 1)
    s.corcircle((dudi.pca(atlas$meteo, scann = FALSE)$co),
        clab = 1)

    area.plot(atlas$area, val = dudi.pca(atlas$meteo,scann=FALSE)$li[,1],
        ncl = 12, sub = "Principal Component Analysis analysis", csub = 1.5,
        cleg = 1)
    birds.coa <- dudi.coa(atlas$birds, sca = FALSE, nf = 1)
    x <- birds.coa$li$Axis1
    area.plot(atlas$area, val = x, ncl = 12,
        sub = "Correspondence analysis", csub = 1.5, cleg = 1)

    s.value(atlas$xy, x, contour = atlas$contour, csi = 2,
        incl = FALSE, addax = FALSE)
    triangle.plot(atlas$alti)
    par(op)
    par(mfrow=c(1,1))

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