An EXtrapolation DETection Tool For The Modeling Of Species Distributions
Assess climate analogy between a projection extent (p) and a reference extent (ref, used in general as the background to calibrate SDMs)
ecospat.exdet (ref, p)
A dataframe with the value of the variables (i.e columns) for each point of the reference exent.
A dataframe with the value of the variables (i.e columns) for each point of the projection exent.
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
Blaise Petitpierre email@example.com
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.
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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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