nested(web, method = "binmatnest2", rescale=FALSE, normalised=TRUE)
C.score
for details.Blüthgen, N., J. Fründ, D. P. Vazquez, and F. Menzel. 2008. What do interaction network metrics tell us about specialisation and biological traits? Ecology 89, 3387--3399.
Brualdi, R.A. and Sanderson, J.G. 1999. Nested species subsets, gaps, and discrepancy. Oecologia 119, 256--264. Galeano, J., Pastor, J.M., Iriondo and J.M. 2008. Weighted-Interaction Nestedness Estimator (WINE): A new estimator to calculate over frequency matrices. arXiv 0808.3397v2 [physics.bio-ph] Rodríguez-Gironés, M.A. and Santamaría, L. 2006. A new algorithm to calculate the nestedness temperature of presence-absence matrices. J. Biogeogr. 33, 924--935.
Stone, L. and Roberts, A. 1990. The checkerboard score and species distributions. Oecologia 85, 74--79.
Almeida-Neto, M. and Ulrich, W. 2010. A straightforward computational approach for measuring nestedness using quantitative matrices. Environmental Modelling & Software, in press.
C.score
, wine
, nestedness
, discrepancy
; and, within nestedtemp
,
nestedchecker
, nesteddisc
, nestednodf
data(Safariland)
nested(Safariland, "ALL")
nested(Safariland, "ALL", rescale=TRUE)
# illustration that non-normalised C.score and checker are the same:
nested(Safariland, c("C.score", "checker"), normalise=FALSE)
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