rF_predictions_to_polygons: Run An Existing rF In Predictive Mode
In pieterbeck/CanHeMonR: Tools for canopy health monitoring through image analysis

Run an existing rF in predictive mode on mn and sd for each polygon, extracted from a raster

1 2	rF_predictions_to_polygons(rF_model, segments_shp, WV2image, append_shp = F, target_class = "EG", outp_shp)

`rF_model`	an .rdata file that holds an rF classifier named "rF"
`segments_shp`	a polygon shapefile of landscape elements that need to be classified
`WV2image`	an image to extract mn and sd from, for each polygon, as input to the rF
`append_shp`	should the original fields of segments.shp be retained in the output?
`target_class`	(for rF classifiers only) if a target.class is given, only polygons predicted by the rF to be this class will be retained in the output
`outp_shp`	name for the output shapefile