This functor predicts the phylogenetic beta-diversity patterns by using environmental predictors. For more details, see: Rosauer, D.F., Ferrier, S., Williams, K.J., Manion, G., Keogh, J.S., Laffan, S.W., 2014. Phylogenetic generalised dissimilarity modelling: a new approach to analysing and predicting spatial turnover in the phylogenetic composition of communities. Ecography (Cop.). 37, 21–32. https://doi.org/10.1111/j.1600-0587.2013.00466.x
| Name | Type | Description |
|---|---|---|
| Input Occurences | csv file | Csv file with species occurences (colunms sp, x, y). |
| Input Phylogenetic Tree | tre file | Filogenetic tree in format “.tre” |
| The Tree has branch lengths | Boolean Value Type | Choose the tipe of phylogentic tree |
| Input Mask | Map Filename Type | The filename of the shape of area of study. |
| Hexagon Size | Real Value Type | Define size of hexagons to sampling data |
| Minimum Number Of Samples | Real Value Type | Minimum number of samples in hexagon |
| Predictors | Folder | Folder with predictors raster files (variables) in geoTif format |
| Output folder | Folder | Folder to save outputs. |
| Use Geographical Distances | Boolean Value Type | Use geographical distances as predictors |
| Classify GDM | Boolean Value Type | Classify areas in GDM by unsupervised classification |
| Number Of Classes | Real Value Type | Number of classes in classification |
| Project In Another Scenario | Boolean Value Type | Project GDM in another scenario (future or past) |
| Folder Scenarios Raster | Folder | Folder with rasters for project in another scenario. The rasters should be named in the same way of predictors. |
| Weight Samples | Boolean Value Type | Weight samples by number of samples (for data with sampling bias) |
| Name | Type | Description |
|---|---|---|
| Explained of Model | Real Value Type | Percentage of explanation of model |
| Map | Map Type | Map of GDM prediction |
BioDinamica