Alexandre, many thanks, there seems to be plenty of useful content on the
linked site!

Am 14.02.2012 14:56 schrieb "Alexandre Villers" <villers.alexandre@gmail.com
>:
>
> I answered by mistake on the R SIG GEO.... sorry for cross posting.
>
> ---------------------------------------------------------------------
>
> Hi,
>
>
> If you are not afraid to switch to Bayesian methods (but fast ones !),
the INLA package could do that for you. ( www.r-inla.org )
> Cheers
>
>
> Alex
>
> On 14/02/2012 15:36, Kay Cichini wrote:
>>
>> Hi all,
>>
>> I'd very much appreciate pointers at methodology/R-packages/functions
>> suited for modelling zero inflated species abundance data (counts) that
>> most likely will show spatial autocorrelation. Species abundances range
>> between 0 and 6, the proportion of zeroes is about 90%. I have about 6
>> nominal covariables (partly heavily unbalanced).
>>
>> Yours,
>> Kay
>>
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>>
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>
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