View source: R/8.3.f.metrics.MOP.R
mop | R Documentation |
This function will compute the omission rate (OR) for a species' AICc Averaged Model from a 'mcmp' object, based on the selected threshold value.
mop(
M,
G,
p = 0.1,
q = 0.1,
min.M.sz = 100,
filename = NULL,
scn.nm = "",
numCores = 1,
...
)
M |
RasterStack of environmental variables from calibration area |
G |
RasterStack of environmental variables from projection area |
p |
Percent of values, sampled from calibration area, used as reference to calculate the MOP. Must be >0 and <=1. |
q |
Quantile. Proportion of closest points in M is to be compared with G to calculate the MOP. Must be >0 and <=1. |
min.M.sz |
Threshold value to be used to compute OR |
filename |
Output filename |
scn.nm |
Name of the climatic scenario used for saving results |
numCores |
Number of cores to use for parallelization. If set to 1, no paralellization is performed |
... |
Additional arguments:
You can use options=c("PROFILE=BASELINE") to create a plain tif with no GeoTIFF tags. This can be useful when writing files to be read by applications intolerant of unrecognised tags. NetCDF files have the following additional, optional, arguments:
|
Data frame with average and variance of OR values across partition groups of data
mop_b
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