Hi, I have a GAM model that contains factors in addition to smooth terms etc. I would like to evaluate this at all points on a raster, but I can't seem to get the predict.raster() function to pick up the values of my factors. I have created a minimum (not) working example here, based on the example for the predict() function.
Any suggestions in this direction would be appreciated. Mark # create a RasterStack or RasterBrick with with a set of predictor layers logo <- brick(system.file("external/rlogo.grd", package="raster")) # known presence and absence points p <- matrix(c(48, 48, 48, 53, 50, 46, 54, 70, 84, 85, 74, 84, 95, 85, 66, 42, 26, 4, 19, 17, 7, 14, 26, 29, 39, 45, 51, 56, 46, 38, 31, 22, 34, 60, 70, 73, 63, 46, 43, 28), ncol=2) a <- matrix(c(22, 33, 64, 85, 92, 94, 59, 27, 30, 64, 60, 33, 31, 9, 99, 67, 15, 5, 4, 30, 8, 37, 42, 27, 19, 69, 60, 73, 3, 5, 21, 37, 52, 70, 74, 9, 13, 4, 17, 47), ncol=2) # extract values for points xy <- rbind(cbind(1, p), cbind(0, a)) v <- data.frame(cbind(xy[,1], extract(logo, xy[,2:3]))) colnames(v)[1] <- 'pa' #Convert blue layer to a factor v$blue <- factor(v$blue < 200) #build a model, here an example with glm model <- glm(formula=pa~., data=v) #Setup prediction objects pred.b <- logo[[1:2]] const.df <- data.frame(blue=TRUE) #predict to a raster r1 <- predict(pred.b, model, progress='text', const=const.df) #Returns an error as follows: # Error in `[.data.frame`(blockvals, , f[j]) : undefined columns selected [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo