Presence Prediction (Random Forest (ViGrA))
| Author(s) | O.Conrad (c) 2015 |
| Library ID | imagery_vigra |
| Tool ID | 10 |
| Version | 1.0 |
| Menu | Grid | Analysis | Macroecology |
Description
Random Forest Presence Prediction
References
ViGrA - Vision with Generic Algorithms
Parameters
| | Name | Type | Identifier | Description | Constraints |
|---|
| Input | Features | grid list, input | FEATURES | - | - |
| Presence Data | shapes, input | PRESENCE | - | - |
| Output | Presence Probability | grid, output | PROBABILITY | - | - |
| Presence Prediction | grid, output, optional | PREDICTION | - | - |
| Feature Importances | table, output, optional | IMPORTANCES | - | - |
| Options | Grid System | grid system | PARAMETERS_GRID_SYSTEM | - | - |
| Background Sample Density | floating point number | BACKGROUND | Background sample density as percentage of the total number of cells. | Minimum: 0.000000
Maximum: 100.000000
Default: 1.000000 |
| Load Model | file path | RF_IMPORT | - | - |
| Save Model | file path | RF_EXPORT | - | - |
| Tree Count | integer number | RF_TREE_COUNT | How many trees to create? | Minimum: 1
Default: 32 |
| Samples per Tree | floating point number | RF_TREE_SAMPLES | Specifies the fraction of the total number of samples used per tree for learning. | Minimum: 0.000000
Maximum: 1.000000
Default: 1.000000 |
| Sample with Replacement | boolean | RF_REPLACE | Sample from training population with or without replacement? | Default: 1 |
| Minimum Node Split Size | integer number | RF_SPLIT_MIN_SIZE | Number of examples required for a node to be split. Choose 1 for complete growing. | Minimum: 1
Default: 1 |
| Features per Node | choice | RF_NODE_FEATURES | - | Available Choices:
[0] logarithmic
[1] square root
[2] all
Default: 1 |
| Stratification | choice | RF_STRATIFICATION | Specifies stratification strategy. Either none, equal amount of class samples, or proportional to fraction of class samples. | Available Choices:
[0] none
[1] equal
[2] proportional
Default: 0 |
Command Line
Usage: saga_cmd imagery_vigra 10 [-FEATURES ] [-PRESENCE ] [-PROBABILITY ] [-PREDICTION ] [-IMPORTANCES ] [-BACKGROUND ] [-RF_IMPORT ] [-RF_EXPORT ] [-RF_TREE_COUNT ] [-RF_TREE_SAMPLES ] [-RF_REPLACE ] [-RF_SPLIT_MIN_SIZE ] [-RF_NODE_FEATURES ] [-RF_STRATIFICATION ]
-FEATURES: Features
grid list, input
-PRESENCE: Presence Data
shapes, input
-PROBABILITY: Presence Probability
grid, output
-PREDICTION: Presence Prediction
grid, output, optional
-IMPORTANCES: Feature Importances
table, output, optional
-BACKGROUND: Background Sample Density
floating point number
Minimum: 0.000000
Maximum: 100.000000
Default: 1.000000
-RF_IMPORT: Load Model
file path
-RF_EXPORT: Save Model
file path
-RF_TREE_COUNT: Tree Count
integer number
Minimum: 1
Default: 32
-RF_TREE_SAMPLES: Samples per Tree
floating point number
Minimum: 0.000000
Maximum: 1.000000
Default: 1.000000
-RF_REPLACE: Sample with Replacement
boolean
Default: 1
-RF_SPLIT_MIN_SIZE: Minimum Node Split Size
integer number
Minimum: 1
Default: 1
-RF_NODE_FEATURES: Features per Node
choice
Available Choices:
[0] logarithmic
[1] square root
[2] all
Default: 1
-RF_STRATIFICATION: Stratification
choice
Available Choices:
[0] none
[1] equal
[2] proportional
Default: 0