[R-sig-eco] Using multiple species data for gam

[Eduard Szöcs]

Dear Rajendra,

your post reminds me on constrained additive ordination [1].

[1] Yee, T. W. (2006) Constrained additive ordination. Ecology, 87, 203–213.

All the best,

Eduard Szöcs

On 10/02/15 10:41, Rajendra Mohan panda wrote:
> Dear All
> 
> I have >1000 species with presence and absence (0 or 1) values and with
> seven corresponding predictor variables. If I can run gam/glm for the data
> using all species data simultaneously vs predictors. Data are arranged in
> columns against their GPS locations (see below). I know it is possible to
> do separately for each species.
> 
> Your kind response is highly appreciated.
> 
> Sites  Sp1  Sp2 Sp3 Alt Temp Pptn   Ft
> 1A         0      1    1     20   30     1000 Evergreen
> 
> With Best Regards
> Rajendra M Panda
> School of Water Resources
> Indian Institute of Technology Kharagpur, India
> 
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> 
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-- 
Eduard Szöcs
Quantitative Landscape Ecology
Institute for Environmental Sciences
University Koblenz-Landau
Tel. +49 6341 280 31552
http://www.uni-koblenz-landau.de/campus-landau/faculty7/environmental-sciences/landscape-ecology/Staff/eduardszoecs