Good afternoon,
I have recently developed a Maxent distribution model in R for a reptile endemic to Madagascar, using native-range presence-only data. The model performs well.
I have now projected this model onto Florida, where it identifies no suitable habitat. However, my focal taxon is well established in Florida. I did not use Florida presence data in the model because I wanted to check if the model would have a priori predicted the colonisation event.
I would like to recover quantified probability values for the known Florida occurrences; at the moment, I can see in general that the predicted probabilities in the colonised area are low, but I cannot quantify them. I can find the equivalent, quantitative values for my known Madagascar occurrences (because they were included in the model) in the model output (Training points) or using evaluate in 'dismo' (Validation points). Does anybody know of a method/package/function which I can use to find these values for my Florida points (currently just stored as a .csv).
I can share more technical details of the model if necessary; it is a fairly standard Bioclim/Maxent/presence-only data in R, using mainly 'dismo'.
Thank you.
I received a helpful response to this question elsewhere: https://stackoverflow.com/questions/62800256/maxent-species-distribution-modelling-in-r-finding-probabilities-associated-in
Which allowed me to find these probabilities.
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