R: Spatial pattern analysis in plant communities

acacia {ade4} | R Documentation

## 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))
    }

[Package ade4 version 1.7-17 Index]