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Version 0.2.0
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@jamiemkass jamiemkass released this 11 Oct 06:58
v0.2.0
ee55620

Additional significant changes include:

  • Now activate parallel processing by setting parallel=TRUE, and change number of cores used with numCores.
  • Added a "models" slot in ENMevaluation object class to hold Maxent model objects. This allows the user to access the lambda values and original results table generated by Maxent, and use the dismo::predict() function to create logistic predictions and project the model to new areas and/or time periods.
  • Fixed a bug that allowed only a single categorical variable; now multiple categorical variables work.
  • Added an argument in the ENMevaluate function to turn off raster prediction generation to save time (default is rasterPreds=TRUE).
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