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miturbide edited this page May 25, 2016 · 29 revisions

Welcome to the mopa wiki!

This is a tutorial containing a full worked example of species distribution modelling using the RSEP method and the three-step methods (TS and TSKM methods) for pseudo-absence generation presented in Iturbide et al., 2015, com- bining environmental profiling and spatial extent restriction of the background (see Fig. 2 in the cited article). We illustrate the steps followed to produce some of the analyses presented in the article using the R package mopa (MOdelling Pseudo Absences).

NOTE: Most functions presented are implemented in mopa. In the few cases in which functions from other packages are used, the package name is always explicitly indicated.

  1. Package Installation
  2. Modelling
  3. [Data pre-processing](https://github.com/SantanderMetGroup/mopa/wiki/Data preprocessing)
  4. [Pseudo absence data generation](https://github.com/SantanderMetGroup/mopa/wiki/Pseudo absence data generation)

mopa - Santander MetGroup (Univ. Cantabria - CSIC)

mopa v0.4.0

  1. Data pre-processing
  2. Pseudo absence data generation and modelling

mopa v1.0.0

  1. Data formats and pre-processing
  2. Pseudo-absence data generation
  3. Model fitting and prediction
  4. Further options to assess model performace
  5. Analysis of SDM projections
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