An EXtrapolation DETection Tool For The Modeling Of Species Distributions

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Description

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

Usage

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ecospat.exdet (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

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

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

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