On 08/18/2010 11:03 AM, Klaus Vormoor wrote:
Dear Paul,
thanks for your answer. I guess, your second advice is pricipially
that what I want. But so far it did not work. I try a more precise
explaination:
For an area I have in total 2200 catchments (nor = readOGR(shp)). 100
of them have observations for five days (rtopObj3$observations). I am
only interested in the attributes for one day ("QNORM_12_4").
rtopObj3$observations holds spatial information only for these 100
catchments. rtopObj3$predicions holds spatial information only for the
remaining 2100 catchments with predictions
(rtopObj3$predictions$var1.pred).
When I try
plot_poly = rtopObj3$observations
plot_poly$predictions = rtopObj3$predictions$var1.pred
spplot(plot_poly, c("observations", "predictions"))
it does not work since the replacement has 2100 rows and the data has
100.
I would like to create a new object (e.g. plot_poly) which holds the
spatial information of all catchment-polygons (nor) as well as the
attributes of both observations$QNORM_12_4 and predictions$var1.pred
to the corresponding areas. Therefore, I thought spRbind might be a
propper solution.
I hope this is more specific and not even more cryptical...
Best regards,
Klaus
On Tue, 17 Aug 2010 20:21:43 +0200
Paul Hiemstra <p.hiems...@geo.uu.nl> wrote:
Dear Klaus,
You need to be more specific as to what you want exactly. From what I
understand both your runoff and predictions are attributes that you
want to use to fill the polygons. My first idea would be to make to
plots next to each other, which is quite simple in spplot:
spplot(data, c("attribute1", "attribute2"))
If your attributes are not part of the same polygons set you can add
one as a new attribute to the other:
plot_poly = rtopObj3$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
You need to make a subset of the prediction that includes only the 100
observed catchments. Maybe even better, create a prediction object of
only the 100 observed catchments.
cheers,
Paul
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
--
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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