Dear all, I have an object (rtopObj3) including the SpatialPolygonDataFrames with runoff observations ($observations, "QNORM_12_4") for 100 gauged catchments and with predictions ($predictions, "var1.pred") for more than ungauged 2,000 catchments. So far, I only can plot either the observations or the predictions individually:
> spplot(rtopObj3$observations, "QNORM_12_4", col.regions = bpy.colors()) > spplot(rtopObj3$predictions, "var1.pred", col.regions = bpy.colors()) I want to create one map showing both. I tried the sp.layout argument without success. But since I also want to have both information combined for writing a shp-file, it may be more reasonable to use spRbind and do the plot later on. I unsuccessfully tried: > observation = rtopObj3$observations > prediction = rtopObj3$predictions > rtopObj4 <- spRbind(observation, prediction) Error in rbind(deparse.level, ...) : numbers of columns of arguments do not match Does anyone know a way out? Thanks for every advice, Klaus -- View this message in context: http://r-sig-geo.2731867.n2.nabble.com/spRbind-for-spplot-tp5431975p5431975.html Sent from the R-sig-geo mailing list archive at Nabble.com. _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
