> print(spplot(z, zcol=which(names(z)=="0.pred")),
> col.regions=terrain.colors(64), contour=T, pretty=T, cuts=8,
> key.space="right")
>
>
>
> i get the same error :
>
> Error in parse(text = x) : :1:3: unexpected symbol
>
> 1: 0.pred
>
>
One way out (since in R there are usually more) is
trellis.par.set(axis.line=list(col=NA))
then
spplot(... etc
but then also the box around the legend dissapears. SOme one one this list
has sent me code that corrects this bit but I cant seem to be able to find
it at the moment.
Hope it helps
Ca
Dear all,
I read in ASDAR: "Residual variograms are calculated by default when a
more complex model for the trend is used..."
However, I noticed that when using fit.variogram in gstat with an
additional option: degree=2, but keeping the formula as an intercept
only, does not account for the highe
gt; I understand this is somewhat confusing. Do you think we should modify
> the book or the documentation of some function?
>
> On 09/17/2013 11:36 AM, Caspar Hallmann wrote:
>> Dear all,
>>
>> I read in ASDAR: "Residual variograms are calculated by default
>> wh
