Model for zero-inflated species abundance data, allowing for spatial autocorrelation?
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 [[alternative HTML version deleted]]
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