Ned,
I think the order of the first two arguments is wrong and should be:
predict (imageRaster, randfor, filename=outImage, progress='text',
format='GTiff', datatype='FLT4S', type='response', overwrite=TRUE)
Robert
On Tue, Oct 26, 2010 at 1:59 PM, Ned Horning <horn...@amnh.org> wrote:
> Hi - I am trying to use the predict function from the raster package to
> predict using a random forest object using the following command:
>> predict (randfor, imageRaster, filename=outImage, progress='text',
>> format='GTiff', datatype='FLT4S', type='response', overwrite=TRUE)
>
> I get the following error:
> Error in as.data.frame.default(newdata) :
> cannot coerce class structure("RasterStack", package = "raster") into a
> data.frame
>
> I get the same error when trying this with a gbm object. The input image is
> an 8-band 32 bit floating point image. I am able to use the predict function
> with random forests when the image with the predictor variables and the data
> used to build the model are different. Here is the description of the
> RasterStack image I am using:
> --
>> imageRaster
> class : RasterStack
> filename :
> nlayers : 8
> nrow : 121
> ncol : 133
> ncell : 16093
> projection : +proj=utm +zone=19 +ellps=clrk66 +datum=NAD27 +units=m
> +no_defs +nadgri...@conus,@alaska,@ntv2_0.gsb,@ntv1_can.dat
> min value : NA NA NA NA NA NA NA NA
> max value : NA NA NA NA NA NA NA NA
> xmin : 272614.0766
> xmax : 285914.0766
> ymin : 4862555.9603
> ymax : 4874655.9603
> xres : 100
> yres : 100
> --
> Any idea what the problem might be?
>
> Ned
>
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