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)
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))
    scatterutil.sub(names(acacia)[k], 1.5, "topleft")
}
par(mfcol = c(1,1))

Worked out examples


> library(ade4)
> ### Name: acacia
> ### Title: Spatial pattern analysis in plant communities
> ### Aliases: acacia
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(acacia)
> 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))
+     scatterutil.sub(names(acacia)[k], 1.5, "topleft")
+ }
> par(mfcol = c(1,1))
> 
> 
> 

[Package ade4 Index]