Description Usage Arguments Details Value Author(s) References See Also Examples
Functions to calculate the ecological distance between two groups
1 2 3 4 5 6 7 8 9 10 | 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)
|
x |
species from group A |
y |
species from group B |
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.
Returns the similarity index for the two sites in question.
Matthew Vavrek
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.
1 2 3 4 5 6 7 8 | ##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)
|
Loading required package: sp
Loading required package: maps
Loading required package: shapefiles
Loading required package: foreign
Attaching package: 'shapefiles'
The following objects are masked from 'package:foreign':
read.dbf, write.dbf
[1] 0.6060606
[1] 0.4285714
[1] 0.6
[1] 0.6
[1] 0.7806971
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