# SDM workflow

All SDM approaches have a similar generic workflow:

### Conceptualisation

Make a plan for your work first.

### Data

The butterflies of Pakistan and maybe of whole Asia - depending on the outcome of the digitization part of this course - will serve as example in this course.

### Model fitting

There are plenty of methods available for this step. Here are the arguably most important ones, which will be introduced by your tutorials:

Method |
---|

Profile methods |

Bioclim |

Domain |

Regression methods |

Generalized linear models |

Generalized additive models |

Machine-learning methods |

MaxEnt |

Random forest |

Boosted regression trees |

Neural networks |

Support vector machines |

XG Boost |

Bayesian nonparametric regression |

Ensemble methods |

Model averaging |

### Assessment

Depends a bit on the method, but not too much.

### Predictions

Are easy to make but difficult to reproduce and even more difficult to evaluate.