Species Distribution MOdeling with Pseudo-Absences

add_legend | Add legend to the figure returned by 'varianceSummary'. |

AUCextentFit | Non-linear model fitting for extracting an index of the... |

backgroundGrid | Create background coordinates from raster object |

backgroundRadius | Background extent restriction for a sequence of distances |

bindPresAbs | Bind presences and absences |

biomat | Matrix with variables for modelling |

boundingCoords | Bounding box coordinates of xy records |

cutTSS | Cut value of the max TSS |

delimit | Delimit study area and background coordinates |

depth | Level depth in a list |

depthLength | Depth length in a list |

depthnames | Depth length in a list |

depthnames1 | Depth names in a list 1 |

extractFromModel | Extrac objects from lists returned by function 'mopaTrain' |

extractFromModel0 | Internal function to extrac objects from lists returned by... |

extractFromPrediction | Extract values from objects or list of objects |

kfold | Stratified random partitioning into subsets |

leaveOneOut | Leave out a different subset for test each fold |

modelo | Species distribution modeling and cross validation |

mods | Fitted models |

mopaPredict | Model prediction |

mopaPredict0 | Internal function for model prediction |

mopaTrain | Easy species distribution modeling and cross validation |

mopaTrain0 | Easy species distribution modeling and cross validation |

nicheOver | Niche overlap |

Oak_phylo2 | Oak distribution |

OCSVMprofiling | Environmental profiling with One-Classification Support... |

pseudoAbsences | Pseudo-absence data generation |

pseudoAbsences0 | Pseudo-absences internal |

Q_pubescens | Quercus pubsencens distribution |

TSS.Stat | Internarl function for cutTSS |

varianceAnalysis | Variance analysis of RasterStack objects |

varianceSummary | Summary of the variance analysis results. |

wrld | World map |

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