This functor predicts the beta-diversity patterns by using environmental predictors. For more details, see: Ferrier, S., Manion, G., Elith, J., & Richardson, K. (2007). Using generalized dissimilarity modelling to analyse and predict patterns of beta diversity in regional biodiversity assessment. Diversity and Distributions, 13(3), 252–264. doi:10.1111/j.1472-4642.2007.00341.x
Name | Type | Description |
---|---|---|
Input Occurences | csv file | Csv file with species occurences (colunms sp, x, y). |
Predictors | Map Type | Map of predictor variables in geoTiff format. |
Output folder | Folder | Folder to save outputs. |
Input Mask | Map Filename Type | The filename of the shape of area of study. |
Hexagons As Sample Units | Boolean Value Type | Use hexagons as sample units to generate the species data table by location (recommended when data is sparse and with gaps). |
Hexagon Size | Real Value Type | Value that define size of sample units. |
Minimum Number Of Samples | Real Value Type | Minimum number of samples in hexagon |
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. |
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 |
Name | Type | Description |
---|---|---|
Explained of Model | Real Value Type | Percentage of explanation of model |
Map | Map Type | Map of GDM prediction |
First, this functor verifies whether there is a valid input in “Possible Map 1”; if not, it chooses “Possible Map 2” as input. It is a convenient way to provide an alternate categorical map in case an execution pipeline does not return a valid data. If “Possible Map 2” is not set, the functor will return a void output.
BioDinamica