Hi all. I'm trying to implement some species distribution models with my data sets. Because of the nature of the organisms i'm working with I need specifically to fit models with data contained in a data.frame instead of providing the x,y locations to be sampled from a rasterStack. Firstly i've found one way of doing it with dismo's maxent implementation, by providing a vector with 1's ans 0's, 0 values correspond to values extracted with randomPonints. However, I haven't found a way of providing the data.fame as background data, instead of pseudoabsences as described. Secondly, I also want to fit a maxlike model, but haven't found if there's a data.frame method. Like I said, I can't do it with the traditional rasterStack method, because the information to fit the model is seasonal. Any help is really appreciated. Regards Gerardo
data.frame methods for maxlike and maxent
1 message · Gerardo Martin