Calibration And Evaluation Dataset
Generate an evaluation and calibration dataset with a desired ratio of disaggregation.
ecospat.caleval (data, xy, row.num=1:nrow(data), nrep=1, ratio=0.7, disaggregate=0, pseudoabs=0, npres=0, replace=FALSE)
data |
A vector with presence-absence (0-1) data for one species. |
xy |
The x and y coordinates of the projection dataset. |
row.num |
Row original number |
nrep |
Number of repetitions |
ratio |
Ratio of disaggregation |
disaggregate |
Minimum distance of disaggregation (has to be in the same scale as xy) |
pseudoabs |
Number of pseudoabsences |
npres |
To select a smaller number of presences from the dataset to be subsetted. The maximum number is the total number of presences |
replace |
F to replace de pseudoabsences |
This functions generates two list, one with the calibration or training dataset and other list with the evaluation or testing dataset disaggregated with a minimum distance.
list("eval"=eval,"cal"=cal))
Blaise Petitpierre bpetitpierre@gmail.com
data <- ecospat.testData caleval <- ecospat.caleval (data = ecospat.testData[53], xy = data[2:3], row.num = 1:nrow(data), nrep = 2, ratio = 0.7, disaggregate = 0.2, pseudoabs = 100, npres = 10, replace = FALSE) caleval
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