Dear R-List,
I'm using the package biomod to identify areas of potential distribution of a
butterfly. I don't have independent data to test, so I'm using a partition of
the data 80/20. Maybe I should say as well that I chose to run the Models with
only 1 repetitions but 2 runs of Pseudo-absences.
I have 3 questions.
1. In the tutorial for this package is described the function level.plot. It is
useful to plot the results of every model but in the tutorial they ran the
Models with "independent data", Is there any possibility to use this function
without having to run the models with independent data?
load("pred/Pred_Ag_cing")
level.plot(Pred_Ag_cing[,"RF",1,1],coorxy,title='Ag_cingulata RF')
Error in level.plot(Pred_Ag_cing[, "RF", 1, 1], coorxy, title = "Ag_cingulata
RF") :
data and coordinates should be of the same length
length(coorxy$Longitude)
[1] 2697182
length(Pred_Ag_cing[,"RF",1,1])
[1] 1350
It gives me an error saying that the coordinates and the data must be the same
length, (the truth is I don't get why without running the models with
independent data it doesn't get the same length but with independent it does.)
2. Is there any possibility to export the data to make
the plots as an ascii files so can be imported into GIS?
3. Is the only form to plot the outputs of the models in GIS by extracting the
model and using Raster Calculator? If it is the case, how do I get the final
models of RandomForest, MARS and GAM?
Any help would be very much appreciated,
Thanks a lot in advanced,
Liliana Ballesteros
PhD Student
University of Basel
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