predict.unsuperClass | R Documentation |
applies a kmeans cluster model to all pixels of a raster. Useful if you want to apply a kmeans model of scene A to scene B.
## S3 method for class 'unsuperClass' predict(object, img, output = "classes", ...)
object |
unsuperClass object |
img |
Raster object. Layernames must correspond to layernames used to train the superClass model, i.e. layernames in the original raster image. |
output |
Character. Either 'classes' (kmeans class; default) or 'distances' (euclidean distance to each cluster center). |
... |
further arguments to be passed to writeRaster, e.g. filename |
## Load training data data(rlogo) ## Perform unsupervised classification uc <- unsuperClass(rlogo, nClasses = 10) ## Apply the model to another raster map <- predict(uc, rlogo)
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