A Spatial Data Mining Framework for Species Distribution Modelling

BinMat-class | An S4 class to represent a matrix model for naive bayes... |

BinMatCount-class | An S4 subclass from BinMat class. |

BinMatEps-class | An S4 subclass from BinMat class. |

BinMatPred-class | An S4 subclass from BinMat class. |

BinMatProb-class | An S4 subclass from BinMat class. |

BinMatScore-class | An S4 subclass from BinMat class. |

counts | Counting matrices for spatial data mining |

epsilon | Epsilon function for NB Hypothesis Testing for Spatial Data... |

get | Accesor methods for BinMat class and subclass |

get_species_ | Get data from SPECIES framework |

grd_build | Generate a grid from SpatialPolygonsDataFrame. |

id_pts | Identify points coordinates inside each cell of the grid. |

laplace | Laplace correction for spatial data mining. |

mammals | Coordinates of 443 mammals' species from Mexico. |

Mex0 | Polygon of Mexico whithout politic's division. |

plot-methods | An S4 method for SpatialPolygonsDataFrame and BinMat classes... |

predict | Function to calculate predictions form BinMatScore Class |

probs | Probability matrices for spatial data mining. |

raster_breaks | Extract pixels from raster object and breaks it into n bins. |

rspecies | rspecies: A Spatial Data Mining Framework for Species... |

score | Score function for NB classifier for Spatial Data Mining |

set-BinMatCount | Replace methods for BinMat class and subclass |

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