Introduction

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.

Advantages

  • Simple and easy to interpret

Limitations

  • Does not use environmental variables to predict species occurrence

Assumptions

N/A


Requires absence data

No


Configuration options

BCCVL uses the ‘dismo’ package. There are no configuration options for this algorithm.


References

  • Hijmans RJ, Elith J (2015) Species distribution modeling with R.