Determining the Minimal Background Area for Species Distribution Models
A versatile tool that aims at (1) defining what is the minimum background extent necessary to fit good partial species distribution models and/or (2) determining if the background area used to fit a partial species distribution model is reliable enough to extract ecologically relevant conclusions from it. See Rotllan-Puig, X. & Traveset, A. (2019) <doi:10.1101/571182>.
MinBAR is an R package that aims at (1) defining what is the minimum or optimal background extent necessary to fit good partial SDMs and/or (2) determining if the background area used to fit a partial SDM is reliable enough to extract ecologically relevant conclusions from it.
The idea is to sequentially fit several concentric SDMs, with different diameter each (i.e. buffers), from the centre of the species distribution to the periphery, until a satisfactory model is reached.
The main function of MinBAR is minba. In the version 1.0.0 of the package, minba is implemented for MaxEnt models and uses the Boyce Index as a measure of model performance. This might be extended to other algorithms and modelling techniques, as well as to other evaluation metrics.
To install the latest version:
Functions in MinBAR
|minba()||Determining the Minimal Background Area for Species Distribution Models|
|sprecords||Presences (occurrences) of Linaria alpina|
Last month downloads
|Packaged||2019-07-03 15:34:38 UTC; xavi_rp|
|Date/Publication||2019-07-10 12:30:03 UTC|
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