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.