Backgrounddata

Longitude and latitude
values, as well as values of four environmental variables (from the Bio-ORACLE dataset;
  Tyberghein et al., 2012) for each of 10,000
background points. The background points were selected randomly along shorelines of all continents in the northern hemisphere.

datasets

Complex niche models show low performance in identifying
    the most important range-limiting environmental variables and in
    transferring habitat suitability to novel environmental conditions
    (Warren and Seifert, 2011; Warren et al., 2014). This package helps to
    identify the most important set of uncorrelated variables and to
    fine-tune Maxent's regularization multiplier. In combination, this
    allows to constrain complexity and increase performance of Maxent niche
    models (assessed by information criteria, such as AICc (Akaike, 1974) ,
    and by the area under the receiver operating characteristic (AUC)
    (Fielding and Bell, 1997). Users of this package should be familiar with
    Maxent niche modelling.

Backgrounddata: CSV file with background/pseudoabsence data

Description

Arguments

References

Examples