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, output, optional | RESIDUALS | - | - |
| Details: Coefficients (*) | Table, output, optional | INFO_COEFF | - | - |
| Details: Model (*) | Table, output, optional | INFO_MODEL | - | - |
| Details: Steps (*) | Table, output, optional | 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, output, optional
-INFO_COEFF:<str> Details: Coefficients
Table, output, optional
-INFO_MODEL:<str> Details: Model
Table, output, optional
-INFO_STEPS:<str> Details: Steps
Table, output, optional
-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