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fossil (version 0.4.0)

similarity: Similarity/Dissimilarity Indices

Description

Functions to calculate the ecological distance between two groups

Usage

braun.blanquet(x, y)
bray.curtis(x, y)
euclidean(x,y)
kulczynski(x,y)
jaccard(x, y)
manhattan(x, y)
morisita.horn(x, y)
ochiai(x, y)
simpson(x, y)
sorenson(x, y)

Arguments

x

species from group A

y

species from group B

Value

Returns the similarity index for the two sites in question.

Details

You must provide two separate vectors, with species arranged in the same order, from area A and B. If species are present in one site but not the other, these must be recorded for both sites; the site where they are not found should be coded as a zero. For details on each index, please consult the references.

References

Shi, G. R. 1993. Multivariate data analysis in palaeoecology and palaeobiogeography -- a review. Palaeogeography, Palaeoclimatology, Palaeoecology 105: 199--234.

Magurran, A. E. 2004. Measuring Biological Diversity. Oxford, Blackwell.

See Also

dino.dist

Examples

Run this code
# NOT RUN {
##Species counts from two different locations
a <- c(1,0,4,3,5,0,0,7)
b <- c(2,1,3,0,0,1,0,6)
bray.curtis(a,b)
jaccard(a,b)
simpson(a,b)
sorenson(a,b)
morisita.horn(a,b)
# }

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