Agus,

> Any body knows if this problem is unavoidable (i.e. there is not
> information for modelling the distribution of this species)

It is a warning. It suggests there is something wrong with some of your
data. I would extract the values of the stack  for the presence points
(raster function 'extract'), and inspect which are the points that have NA
values and/or which of the environmental predictors have NAs at the
location of the points.

> or if there is a way to avoid it (e.g. use only presence points where
> there is environmental information)?.

That is what happens, but that might not be desired as you may loose a lot
of information.

Robert

On Sun, Mar 11, 2012 at 7:32 AM, Agus Camacho <agus.camacho@gmail.com>wrote:

> Dear all,
>
>  I am experiencing difficulties to model the distribution of some species
> because in the raster stack I am using (worldclim plus harmonized soils
> database) the occorrence points of my species there are many NAs, thus,
> when applying:
>
>  xm <- maxent(envir,              pres_train,
> factors=c('sq1',"sq2","sq3","sq4","sq5","sq6","sq7")
> ,removeDuplicates=TRUE)
>
> I get the following error message:
> Mensajes de aviso perdidosIn .local(x, p, ...) :
>  33.3333333333333% of the presence points have NA predictor values
>
> Any body knows if this problem is unavoidable (i.e. there is not
> information for modelling the distribution of this species)
> or if there is a way to avoid it (e.g. use only presence points where
> there is environmental information)?.
>
> If possible, any one could give me any hint on how to do it?
>
>
> Thanks to all.
> --
> Agustín Camacho Guerrero.
> Doutorando em Zoologia.
> Laboratório de Herpetologia, Departamento de Zoologia, Instituto de
> Biociências, USP.
> Rua do Matão, trav. 14, nº 321, Cidade Universitária,
> São Paulo - SP, CEP: 05508-090, Brasil.
>
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>
>
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