Dear Klaus,
You need to be more specific as to what you want exactly. From what I
understand both your runoff and predictions are attributes that you want
to use to fill the polygons. My first idea would be to make to plots
next to each other, which is quite simple in spplot:
spplot(data, c("attribute1", "attribute2"))
If your attributes are not part of the same polygons set you can add one
as a new attribute to the other:
plot_poly = rtopObj3$observations
plot_poly$predictions = rtopObj3$predictions$var1.pred
spplot(plot_poly, c("observations", "predictions"))
Is this satisfactory for you, and what do you mean by one map showing
both? To show the results in one figure a scatterplot of observerd vs
modeled is also a good idea.
regards,
Paul
On 08/17/2010 03:06 PM, Klaus Vormoor wrote:
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
--
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone: +3130 253 5773
http://intamap.geo.uu.nl/~paul
http://nl.linkedin.com/pub/paul-hiemstra/20/30b/770
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