Hello.
I wonder if it is possible to use, at full extent, replicate information for the building of species distribution models to predict the occurrence (not abundance) of an insect species.
That is, in each sample point I collected several plant species and in each of them I assessed if the insect species occurred or not.
How can I do this in R using biomod2 or dismo (how can I formulate it?), given that for the same point I may have a compound of occurrences and absences?
Thanks in advance,
You calculate beta diversities for presence-absence data :)
Dear Diogo,
Technically, if you work with vectors (e.g. sf) instead of rasters (e.g. RasterStack), then your dataset can easily contain multiple records (i.e., rows) for the same location. Theoretically, using multiple presence records that are close to or overlap with each other might cause biased estimation. Hence, the points too close to each other are usually removed by spatial filtering.
HTH,
Ákos