View source: R/dsmartr_evaluate.R
eval_ties | R Documentation |
Calculates and maps out locations where the most-probable soil is a tie
between two or more classes. Requires output from
dsmartr::collate()
.
eval_ties(tallied_preds = NULL, cpus = 1)
tallied_preds |
RasterBrick; |
cpus |
Integer; number of processors to use in parallel. |
n_classes_predicted
: RasterLayer depicting the number of soils
tied for most-probable per pixel. Written to disk as GeoTIFF.
## Not run:
# run iterate() and collate() with the example data then:
tiemap <- eval_ties(tallied_preds = collated[['tallied_predictions']],
cpus = max(1, (parallel::detectCores() - 1)))
## End(Not run)
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