ecospat: ecospat.climan – R documentation

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ecospat.climan

A climate analogy setection tool for the modeling of species distributions

Description

Assess climate analogy between a projection extent (p) and a reference extent (ref, used in general as the background to calibrate SDMs)

Usage

ecospat.climan (ref, p)

Arguments

`ref`	A dataframe with the value of the variables (i.e columns) for each point of the reference exent.
`p`	A dataframe with the value of the variables (i.e columns) for each point of the projection exent.

Value

Returns a vector. Values below 0 are novel conditions at the univariate level (similar to the MESS), values between 0 and 1 are analog and values above 1 are novel covariate condtions. For more information see Mesgeran et al. (2014)

Author(s)

Blaise Petitpierre bpetitpierre@gmail.com

References

Mesgaran, M.B., R.D. Cousens and B.L. Webber. 2014. Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models. Diversity & Distributions, 20, 1147-1159.

Examples

x <- ecospat.testData[c(4:8)]
p<- x[1:90,] #A projection dataset.
ref<- x[91:300,] #A reference dataset
ecospat.climan(ref,p)

ecospat

Spatial Ecology Miscellaneous Methods

v3.2

GPL

Authors

Olivier Broennimann [cre, aut, ctb], Valeria Di Cola [aut, ctb], Blaise Petitpierre [ctb], Frank Breiner [ctb], Daniel Scherrer [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Heidi Mod [ctb], Julien Pottier [ctb], Mirko Di Febbraro [ctb], Loic Pellissier [ctb], Dorothea Pio [ctb], Ruben Garcia Mateo [ctb], Anne Dubuis [ctb], Luigi Maiorano [ctb], Achilleas Psomas [ctb], Charlotte Ndiribe [ctb], Nicolas Salamin [ctb], Niklaus Zimmermann [ctb], Antoine Guisan [aut]

Initial release

2021-02-17