Skip to content

Home

Jump to bottom
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
Clone this wiki locally