acacia: Spatial pattern analysis in plant communities

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

Spatial pattern analysis in plant communities

Description

Counts of individuals of Acacia ehrenbergiana from five parallel transects of 32 quadrats.

Usage

data(acacia)

Format

acacia is a data frame with 15 variables :
se.T1, se.T2, se.T3, se.T4, se.T5 are five numeric vectors containing quadrats counts of seedlings from transects 1 to 5 respectively;
sm.T1, sm.T2, sm.T3, sm.T4, sm.T5 are five numeric vectors containing quadrats counts of small trees (crown < 1 m^2 in canopy) of transects 1 to 5 respectively;
la.T1, la.T2, la.T3, la.T4, la.T5 are five numeric vectors containing quadrats counts of trees with large crown (crown > 1 m^2 in canopy) of transects 1 to 5 respectively.

Source

Greig-Smith, P. and Chadwick, M.J. (1965) Data on pattern within plant communities. III. Acacia-Capparis semi-desert scrub in the Sudan. Journal of Ecology, 53, 465–474.

References

Hill, M.O. (1973) The intensity of spatial pattern in plant communities. Journal of Ecology, 61, 225–235.

Examples

data(acacia)
if(adegraphicsLoaded()) {
  gg <- s1d.barchart(acacia, p1d.horizontal = FALSE, psub.position = "topleft", 
    plabels.cex = 0, ylim = c(0,20))
} else {
  par(mfcol = c(5, 3))
  par(mar = c(2, 2, 2, 2))
  for(k in 1:15) {
    barplot(acacia[, k], ylim = c(0, 20), col = grey(0.8))
    ade4:::scatterutil.sub(names(acacia)[k], 1.5, "topleft")
  }
  par(mfcol = c(1, 1))
}

ade4 documentation built on Feb. 16, 2023, 7:58 p.m.