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gdm [2018/03/23 03:19]
ubirajara
gdm [2018/03/27 19:29] (current)
ubirajara
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 ===== Description ===== ===== Description =====
- +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
-This model 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+
  
 ===== Inputs ===== ===== Inputs =====
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 | Output folder | [[Folder | Folder]] | Folder to save outputs. | | Output folder | [[Folder | Folder]] | Folder to save outputs. |
 | Input Mask | [[Map Filename Type | Map Filename Type]] | The filename of the shape of area of study. | | Input Mask | [[Map Filename Type | Map Filename Type]] | The filename of the shape of area of study. |
 +| Hexagons As Sample Units| [[Boolean Value Type | 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 | Real Value Type]] | Value that define size of sample units. | | Hexagon Size | [[Real Value Type | Real Value Type]] | Value that define size of sample units. |
 +| Minimum Number Of Samples | [[Real Value Type | Real Value Type]] | Minimum number of samples in hexagon|
 +| 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. |
 +| 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 |
  
  
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 ^ Name ^ Type                                       ^ Description ​                 ^ ^ Name ^ Type                                       ^ Description ​                 ^
-| Map  | [[Categorical ​Map Type | Categorical ​Map]] | Map of classes or categories ​|+| Explained of Model  | [[Real Value Type | Real Value Type]] | Percentage of explanation of model | 
 +| Map  | [[Map Type | Map Type]] | Map of GDM prediction ​| 
  
 ===== Group ===== ===== Group =====