Tool Multiple Regression Analysis (Grid and Predictor Grids)
Linear regression analysis of one grid as dependent and multiple grids as indepentent (predictor) variables. Details of the regression/correlation analysis will be saved to a table. Optionally the regression model is used to create a new grid with regression based values. The multiple regression analysis uses a forward selection procedure.
Reference:
- Bahrenberg, G., Giese, E., Nipper, J. (1992): 'Statistische Methoden in der Geographie 2 - Multivariate Statistik', Stuttgart, 415p.
- Author: O.Conrad (c) 2011
- Menu: Spatial and Geostatistics|Regression
Parameters
| Name | Type | Identifier | Description | Constraints | |
|---|---|---|---|---|---|
| Input | Dependent Variable | Grid (input) | DEPENDENT | - | - |
| Predictors | Grid list (input) | PREDICTORS | - | - | |
| Output | Regression | Grid (output) | REGRESSION | - | - |
| Residuals (*) | Grid (optional output) | RESIDUALS | - | - | |
| Details: Coefficients (*) | Table (optional output) | INFO_COEFF | - | - | |
| Details: Model (*) | Table (optional output) | INFO_MODEL | - | - | |
| Details: Steps (*) | Table (optional output) | INFO_STEPS | - | - | |
| Options | Grid System | Grid system | PARAMETERS_GRID_SYSTEM | - | - |
| Resampling | Choice | RESAMPLING | - | Available Choices: [0] Nearest Neighbour [1] Bilinear Interpolation [2] Bicubic Spline Interpolation [3] B-Spline Interpolation Default: 3 | |
| Include X Coordinate | Boolean | COORD_X | - | Default: 0 | |
| Include Y Coordinate | Boolean | COORD_Y | - | Default: 0 | |
| Method | Choice | METHOD | - | Available Choices: [0] include all [1] forward [2] backward [3] stepwise Default: 3 | |
| Significance Level | Floating point | P_VALUE | Significance level (aka p-value) as threshold for automated predictor selection, given as percentage | Minimum: 0.000000 Maximum: 100.000000 Default: 5.000000 | |
| Cross Validation | Choice | CROSSVAL | - | Available Choices: [0] none [1] leave one out [2] 2-fold [3] k-fold Default: 0 | |
| Cross Validation Subsamples | Integer | CROSSVAL_K | number of subsamples for k-fold cross validation | Minimum: 2 Default: 10 | |
| (*) optional | |||||
Command-line
Usage: saga_cmd statistics_regression 8 [-DEPENDENT <str>] [-PREDICTORS <str>] [-REGRESSION <str>] [-RESIDUALS <str>] [-INFO_COEFF <str>] [-INFO_MODEL <str>] [-INFO_STEPS <str>] [-RESAMPLING <str>] [-COORD_X <str>] [-COORD_Y <str>] [-METHOD <str>] [-P_VALUE <double>] [-CROSSVAL <str>] [-CROSSVAL_K <num>] -DEPENDENT:<str> Dependent Variable Grid (input) -PREDICTORS:<str> Predictors Grid list (input) -REGRESSION:<str> Regression Grid (output) -RESIDUALS:<str> Residuals Grid (optional output) -INFO_COEFF:<str> Details: Coefficients Table (optional output) -INFO_MODEL:<str> Details: Model Table (optional output) -INFO_STEPS:<str> Details: Steps Table (optional output) -RESAMPLING:<str> Resampling Choice Available Choices: [0] Nearest Neighbour [1] Bilinear Interpolation [2] Bicubic Spline Interpolation [3] B-Spline Interpolation Default: 3 -COORD_X:<str> Include X Coordinate Boolean Default: 0 -COORD_Y:<str> Include Y Coordinate Boolean Default: 0 -METHOD:<str> Method Choice Available Choices: [0] include all [1] forward [2] backward [3] stepwise Default: 3 -P_VALUE:<double> Significance Level Floating point Minimum: 0.000000 Maximum: 100.000000 Default: 5.000000 -CROSSVAL:<str> Cross Validation Choice Available Choices: [0] none [1] leave one out [2] 2-fold [3] k-fold Default: 0 -CROSSVAL_K:<num> Cross Validation Subsamples Integer Minimum: 2 Default: 10