Thank you!

Although the model does run, when I plot it, predictions are not mapped as probability (0-1) in every cell, but as the raw format were the sum of al cells = 1, so units are really small. Is there another way to do this? I need a probability map in order to diffrenciate areas with more the .75 and export it to ArcGis as a .asc file.

This is my command line:

GC

Hi everyone,

Concerning this point, how can I get the value of the "Maximum training sensitivity plus specificity threshold" in a logistic output (i.e. maximum training... logistic threshold)?

Running by default, ENMeval returns the following values:

- Maximum training sensitivity plus specificity cumulative threshold;

- Maximum training sensitivity plus specificity Cloglog threshold.

So, I'm looking for the logistic threshold.

You could just build the model in the MaxEnt interface

Hi every one,

I tried what Yoan Fourcade recommended (using my data of course):

maxentModLog

Cloe Xochitl Pérez Valladares I may be too late but try dismo::predict() instead of just predict()