[R-sig-Geo] Building a prediction raster when the statistical model was built from sampling units of different sizes

[Nelly Reduan]

Hi Chris,

Thank you very much for your answer.


They are striped skunks that have been captured. In my data, all striped skunks that have been captured within a same trapping site have the same capture success. Thus, each of 50 trapping sites was assigned to one capture success. If, I group trapping sites together, I reduce the sampling size. As the actuel sampling size (50 trapping sites) is rather small, can this cause problem for predicted data estimates?

Thanks very much for your time.

Have a nice day.

Nell


________________________________
De : chris english <englishchristophera at gmail.com>
Envoyé : jeudi 2 juin 2016 06:10:32
À : Nelly Reduan
Cc : Help R-Sig_Geo
Objet : Re: [R-sig-Geo] Building a prediction raster when the statistical model was built from sampling units of different sizes


Hi Nell,

Just a couple of questions. Trapping sites range from 24km^2 - 236km^2, and there are 50 such sites, looking at the 50 sites might there be a way to bin them reasonably into trap area groups?

Your 50 observations suggests one thing was trapped and thereafter trapping was discontinued. Is this correct?

And just for general information, what was being trapped?

Sticking closer to your data, you might consider GAM(ing) the bins and summing the resultant GAMs. Need to think some more on the predictive raster aspect. Sorry for an essentially inconclusive answer.

Chris

	[[alternative HTML version deleted]]