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Predictions are by default rendered between 0 and 1000. Why ? Simply because it is lighter to save integer values rather than decimal values. And if you want to use several algorithms, with several pseudo-absence datasets, etc, number of models and then predictions quickly increase. So we multiply predictions by 1000 but there are still to be seen as probabilities 🙂
If this is too counter-intuitive for you, or if you don't have memory concerns, or you don't want to have to divide predictions by 1000, or simply you prefer it that way ! there is a parameter within BIOMOD_Projection and BIOMOD_EnsembleForecasting functions allowing to control for this : on_0_1000. It is set by default to TRUE and you can change it to FALSE to have directly predictions between 0 and 1.
Hello,
My question is very simple. Is there any unit to the suitability scale used for projection ?
I have been thinking of this for a while and couldn't find any answer.
Thank you for the great platform !
All the best,
Loic
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