Geographic Distance is a geographical model that uses the location of known occurrences and predicts that the likelihood of finding a species in an area depends on the distance of that area to a known occurrence point. The predicted values are the inverse linear distance to the nearest known presence point. Distances smaller than or equal to zero are set to 1 (highest score).
This model does not use the input of environmental variables to predict the distribution of a species.
Simple and easy to interpret
Does not use environmental variables to predict species occurrence
Requires absence data
BCCVL uses the ‘dismo’ package. There are no configuration options for this algorithm.
Hijmans RJ, Elith J (2015) Species distribution modeling with R.