Joris De Wolf a écrit :
> Have you tried to define 'an' as a group? Like in
>
> gls(IKAfox~an,correlation=corExp(2071,form=~x+y|an,nugget=1.22),data=renliev)
>
>
> A small data set might help to explain the problem.
>
> Joris
Thanks. Seems to work with a small artificial data set:
an<-as.factor(rep(2001:2004,each=10))
x<-rep(rnorm(10),times=4)
y<-rep(rnorm(10),times=4)
IKA<-rpois(40,2)
site<-as.factor(rep(letters[1:10],times=4))
library(nlme)
mod1<-gls(IKA~an-1,correlation=corExp(form=~x+y))
>Error in getCovariate.corSpatial(object, data = data) :
Cannot have zero distances in "corSpatial"
mod2<-gls(IKA~an-1,correlation=corExp(form=~x+y|an))
> mod2
Generalized least squares fit by REML
Model: IKA ~ an - 1
Data: NULL
Log-restricted-likelihood: -73.63998
Coefficients:
an2001 an2002 an2003 an2004
1.987611 2.454520 2.429907 2.761011
Correlation Structure: Exponential spatial correlation
Formula: ~x + y | an
Parameter estimate(s):
range
0.4304012
Degrees of freedom: 40 total; 36 residual
Residual standard error: 1.746205
>
> Joris
>
> Patrick Giraudoux wrote:
>> Dear listers,
>>
>> I am trying to model the distribution of fox density over years in
>> the Doubs department. Measurements have been taken on 470 plots in
>> March each year and georeferenced. Average density is supposed to be
>> different each year.
>>
>> In a first approach, I would like to use a general model of this
>> type, taking spatial correlation into account:
>>
>> gls(IKAfox~an,correlation=corExp(2071,form=~x+y,nugget=1.22),data=renliev)
>>
>>
>> but I get
>>
>> >
>> gls(IKAfox~an,correlation=corExp(2071,form=~x+y,nugget=1.22),data=renliev)
>>
>> Error in getCovariate.corSpatial(object, data = data) :
>> Cannot have zero distances in "corSpatial"
>>
>> I understand that the 470 geographical coordinates are repeated three
>> times (measurement are taken each of the three years at the same
>> place) which obviously cannot be handled there.
>>
>> Does anybody know a way to work around that except jittering slightly
>> the geographical coordinates?
>>
>> Thanks in advance,
>>
>> Patrick
>>
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>
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