Home

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, combining 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.

---

0. mopa v0.4.0
1. Package Installation
2. Modelling
3. [Data pre-processing ](https://github.com/SantanderMetGroup/mopa/wiki/Data preprocessing)
4. [Pseudo absence data generation and modelling ](https://github.com/SantanderMetGroup/mopa/wiki/Pseudo absence data generation and modelling )
5. mopa v0.4.0
6. [Data formats and pre-processing](https://github.com/SantanderMetGroup/mopa/wiki/Data formats and preprocessing)
7. [Pseudoabsence data generation](https://github.com/SantanderMetGroup/mopa/wiki/Pseudoabsence data generation)
8. [Model fitting and prediction](https://github.com/SantanderMetGroup/mopa/wiki/Model fitting and prediction)

###References

Iturbide, M., Bedia, J., Herrera, S., del Hierro, O., Pinto, M., Guti ́errez, J.M., 2015. A framework for species distribution modelling with improved pseudo-absence generation. Ecological Modelling DOI:10.1016/j.ecolmodel.2015.05.018.

Petit, R. J., Csaikl, U. M., Bord ́acs, S., Burg, K., Coart, E., Cottrell,J., van Dam, B., Deans, J. D., Dumolin Lap ́egue, S., Fineschi, S., Finkeldey, R., Gillies, A., Glaz, I., Goicoechea, P. G., Jensen,J. S., Konig, A. O., Lowe, A. J., Madsen, S. F., Mátyás, G., Munro, R. C., Olalde, M., Pemonge, M.H., Popescu, F., Slade, D., Tabbener, H., Taurchini, D., de Vries, S. G. M., Ziegenhagen, B., Kremer, A., 2002b. Chloroplast DNA variation in european white oaks: Phylogeography and patterns of diversity based on data from over 2600 populations. Forest Ecology and Management 156 (1-3), 5-26.