Dear list members, I extracted a matrix of predicted values by the pure spatial model (fraction C in the variation partitioning approach with environmental and spatial variables [i.e.,Y ~ environmental + spatial]) from a matrix of species presence/absence as the following example:
require (vegan) data(mite) data(mite.env) data(mite.pcnm) mite[mite>0]<-1 # abundance matrix to presence/absence matrix mod <- rda(mite ~ ., data=cbind(mite.pcnm,mite.env)) modEnv<- rda (mite~.,mite.env) predFull<- predict(mod) predEnv<-predict (modEnv) predSpace<- predFull-predEnv # predicted values (species "occurrence"?) I would like to know if it would be correct (or even if make sense) interpret this matrix of predicted values as predicted species "occurrences" by pure spatial model. Thanks in advance, Amom -- View this message in context: http://r-sig-ecology.471788.n2.nabble.com/Variation-Partitioning-RDA-predicted-values-from-spatial-component-with-absence-presence-matrix-tp7578813.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
