Hello list members,
I'm planning to model species presence / absence data (N = 523) that was
collected over a geographic area. Samples come from preferential sites (sea
level > 1200 m, obligatory presence of permanent waterbodies, etc). I want
to infere on environmental factors determining the occ
thanks manuel,
i'm afraid unmarked can not deal with spatial autocorrelation -
see this post:
http://groups.google.com/group/unmarked/browse_thread/thread/f45bd5ab12aa127d/26446409f3e2a140?lnk=gst&q=spatial%23#26446409f3e2a140
best,
kay
2012/3/20 Manuel Spínola
> You need to look in the "unma
Hello list members,
I'm planning to model species presence / absence data (N = 523) that was
collected over a geographic area. Samples come from preferential sites (sea
level > 1200 m, obligatory presence of permanent waterbodies, etc). I want
to infere on environmental factors determining the occ
That is true, but it can deal with detectability, and I am afraid ctree
cannot.
Best,
Manuel
2012/3/21 Kay Cichini
> thanks manuel,
>
> i'm afraid unmarked can not deal with spatial autocorrelation -
> see this post:
> http://groups.google.com/group/unmarked/browse_thread/thread/f45bd5ab12aa12
manuel,
the sites where sampled repeatedly, such that the detection probability is
sufficiently high. some occurrences might be overseen, but as i am not
interested in the abundances or occurrence-rate per se i can live with
missing some.
another problem of regression like models is that i would
many thanks bálint -
this one helped me a lot!
in the case of a binomial outcome, would you then get the residuals by
taking the difference of observed and predicted average occurrence-rate per
node?
thanks,
kay
ps: i'll foward this to the list..
2012/3/21 Bálint Czúcz
> Hi, Kay,
> you can co
What you say makes sense to me Kay.
Best,
Manuel
2012/3/21 Kay Cichini
> manuel,
>
> the sites where sampled repeatedly, such that the detection probability is
> sufficiently high. some occurrences might be overseen, but as i am not
> interested in the abundances or occurrence-rate per se i ca