====== Spatialize Phylogenetic Tree ======

===== Description =====

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

===== Inputs =====

^ Name            ^ Type                                      ^ Description                                                     ^
| Input Occurences | [[csv file | csv file]] | Csv file with species occurences (colunms sp, x, y). |
| Input Phylogenetic Tree | [[tre file | tre file]] | Filogenetic tree in format ".tre" |
| The Tree has branch lengths | [[Boolean Value Type | Boolean Value Type]] | Choose the tipe of phylogentic tree |
| Input Mask | [[Map Filename Type | Map Filename Type]] | The filename of the shape of area of study. |
| Hexagon Size | [[Real Value Type | Real Value Type]] | Define size of hexagons to sampling data|
| Minimum Number Of Samples | [[Real Value Type | Real Value Type]] | Minimum number of samples in hexagon|
| Predictors | [[Folder | Folder]] | Folder with predictors raster files (variables) in geoTif format |
| Output folder | [[Folder | Folder]] | Folder to save outputs. |
| Use Geographical Distances| [[Boolean Value Type | Boolean Value Type]] | Use geographical distances as predictors |
| Classify GDM| [[Boolean Value Type | Boolean Value Type]] | Classify areas in GDM by unsupervised classification |
| Number Of Classes | [[Real Value Type | Real Value Type]] | Number of classes in classification |
| Project In Another Scenario| [[Boolean Value Type | Boolean Value Type]] | Project GDM in another scenario (future or past) |
| Folder Scenarios Raster | [[Folder | 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 | Boolean Value Type]] | Weight samples by number of samples (for data with sampling bias)|

===== Outputs =====

^ Name ^ Type                                       ^ Description                  ^
| Explained of Model  | [[Real Value Type | Real Value Type]] | Percentage of explanation of model |
| Map  | [[Map Type | Map Type]] | Map of GDM prediction |


===== Group =====

[[BioDinamica | BioDinamica]]


===== Internal Name =====

BioDinamica