Using multiple species data for gam
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 Sz?cs
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 [[alternative HTML version deleted]]
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Eduard Sz?cs 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