View source: R/exdet_multvar.R
exdet_multvar | R Documentation |
exdet_multvar calculates NT2 metric.
exdet_multvar(M_stack, G_stack, G_mold = NULL)
M_stack |
a RasterStack or a Matrix of variables representing the calibration area (M area in ENM context). If M_stack is matrix it should contain the values of environmental variables as get it from |
G_stack |
a RasterStack or a Matrix of variables representing areas or scenarios to which models will be transferred. If G_stack is matrix it should contain the values of environmental variables as get it from |
G_mold |
a Raster representing the extent of the projection area. This is only necessary when G_stack is of class matrix; G_mold will we use as a mold to save the NT1 values computed by exdet_univa function. |
The exdet univariate (exdet_univar
) and multivariate (exdet_multvar
) is calculated following:
Mesgaran, M.B., Cousens, R.D. & Webber, B.L. (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, DOI: 10.1111/ddi.12209.
NT2 metric (multivariate extrapolation) as a raster object.
m_stack <- raster::stack(list.files(system.file("extdata",
package = "ntbox"),
pattern = "M_layers.tif$",
full.names = TRUE))
g_stack <- raster::stack(list.files(system.file("extdata",
package = "ntbox"),
pattern = "G_layers.tif$",
full.names = TRUE))
NT2 <- exdet_multvar(M_stack = m_stack,
G_stack = g_stack)
raster::plot(NT2)
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