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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 ===== |