Thanks, Doug It seems that Biomod is the one I am after. Thanks again.
Li -----Original Message----- From: [email protected] [mailto:[email protected]] On Behalf Of doug.leasure Sent: Wednesday, 6 March 2013 9:30 AM To: [email protected] Subject: Re: [R-sig-eco] Projecting model to landscape You may want to consider the Biomod <http://www.will.chez-alice.fr/Software.html> package ( Thuiller 2009 <http://www.will.chez-alice.fr/pdf/ThuillerEcography2009.PDF> ). This sounds like what you are looking for, assuming you are working with presence/absence data. Biomod does not accommodate abundance data. It can generate pseudo-absences if you have presence-only data. Biomod is an ensemble forecasting package that can output multiple kinds of models including random forests, ANN, GLM, GAM, classification trees, etc. It will make predictions for all grid cells in your raster layers based on any single model or using an ensemble consensus approach. It provides parameters that can be used to compare models and assess variable importance. Hope this helps. Good luck! -- View this message in context: http://r-sig-ecology.471788.n2.nabble.com/Projecting-model-to-landscape-tp7577935p7577941.html Sent from the r-sig-ecology mailing list archive at Nabble.com. _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- This email is intended for the addressee(s) named and may contain confidential and/or privileged information. If you are not the intended recipient, please notify the sender and then delete it immediately. Any views expressed in this email are those of the individual sender except where the sender expressly and with authority states them to be the views of the Office of Environment and Heritage, NSW Department of Premier and Cabinet. PLEASE CONSIDER THE ENVIRONMENT BEFORE PRINTING THIS EMAIL _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
