To whom this may concern:
Here is the source code:
GRA_D1<- raster(files[[1]])
//Sets up an empty output raster:
GRA_D1<- writeStart(GRA_D1,filename='GRA_D1.tif', format='GTiff', overwrite=TRUE)
//Write to the raster, for loop:
for(i in 1:dim(GRA_D1)[1]){
//Extract raster values at rows
d.Frame<- matrix(NA,ncol=2,nrow=dim(GRA_D1)[2])
d.Frame[,1]<- getValues(r1[[1]],i)
d.Frame[,2]<- getValues(r1[[2]],i)
w.Frame<- as.data.frame(d.Frame)
names(w.Frame)<- c("D1_pred_disAg","D1_pred_RK")
//Apply the predictive model:
m.pred<-predict(mod.1, w.Frame)
//Write the predictions to the empty TIFF raster
GRA_D1<-writeValues(GRA_D1,m.pred,i)
print(i)}
//Finish writing to the raster
GRA_D1<- writeStop(GRA_D1)
I am attempting to write output to an empty TIFF raster, but I keep receiving the following error message:
#Error in .local(.Object, ...) :
`general_file_path\GRA_D1.tif' does not exist in the file system,
and is not recognised as a supported dataset name.
I wonder if this is related to misusing functions in either the RGDAL or RASTER package.
Could someone please assist me?
Thanks in advance for your generosity.
Cheers, AD