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.