nicheOverlap

From dismo v1.3-3 by Robert Hijmans

Niche overlap

Compute niche overlap from predictions of species distributions with the 'I' or 'D' similarity statistic of Warren et al. (2009). The statistic ranges from 0 (no overlap) to 1 (the distributions are identical).

Usage

nicheOverlap(x, y, stat='I', mask=TRUE, checkNegatives=TRUE)

Arguments

x: RasterLayer with non-negative values (predictions of the probability that a site is suitable for a species)
y: RasterLayer with non-negative values, as above
stat: character either 'I' or 'D' to get the statistic with that name
mask: logical. If TRUE the function removes cells from x that are NA in y and vice-versa. If you are sure that such cases do not occur you can set this to FALSE to speed up computations
checkNegatives: logical. If TRUE the function checks of any of the values in x and y are negative. If you are sure that such cases do not occur you can set this to FALSE to speed up computations

Value

numeric

References

Warren, D.L., R.E. Glor, M. Turelli, and D. Funk. 2009. Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution. Evolution 62:2868-2883; Erratum: Evolution 65: 1215

Examples

# NOT RUN {
r1 <- raster(nr=18, nc=36)
r2 <- raster(nr=18, nc=36)
set.seed(0)
r1[] <- runif(ncell(r1))
r2[] <- runif(ncell(r1))
nicheOverlap(r1, r2)
# }

Documentation reproduced from package dismo, version 1.3-3, License: GPL (>= 3)

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