Tool Zonal Multiple Regression Analysis (Points and Predictor Grids)
Linear regression analysis of point attributes using multiple predictor grids. Details of the regression/correlation analysis will be saved to a table. The regression function is used to create a new grid with regression based values. The multiple regression analysis uses a forward selection procedure. Each polygon in the zones layer is processed as individual zone.
Reference:
- Bahrenberg, G., Giese, E., Nipper, J. (1992): 'Statistische Methoden in der Geographie 2 - Multivariate Statistik', Stuttgart, 415p.
- Author: O.Conrad, P.Gandelli (c) 2015
- Menu: Spatial and Geostatistics|Regression
Parameters
| | Name | Type | Identifier | Description | Constraints |
|---|
| Input | Predictors | Grid list (input) | PREDICTORS | - | - |
| Zones | Shapes (input) | ZONES | - | - |
| Points | Shapes (input) | POINTS | - | - |
| Output | Residuals (*) | Shapes (optional output) | RESIDUALS | - | - |
| Regression | Grid (output) | REGRESSION | - | - |
| Options | Grid system | Grid system | PARAMETERS_GRID_SYSTEM | - | - |
| Dependent Variable | Table field | ATTRIBUTE | - | - |
| 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 |
| Intercept | Boolean | INTERCEPT | - | Default: 1 |
| 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 |
| (*) optional |
Command-line
Usage: saga_cmd statistics_regression 15 [-PREDICTORS <str>] [-ZONES <str>] [-POINTS <str>] [-ATTRIBUTE <str>] [-RESIDUALS <str>] [-REGRESSION <str>] [-RESAMPLING <str>] [-COORD_X <str>] [-COORD_Y <str>] [-INTERCEPT <str>] [-METHOD <str>] [-P_VALUE <double>]
-PREDICTORS:<str> Predictors
Grid list (input)
-ZONES:<str> Zones
Shapes (input)
-POINTS:<str> Points
Shapes (input)
-ATTRIBUTE:<str> Dependent Variable
Table field
-RESIDUALS:<str> Residuals
Shapes (optional output)
-REGRESSION:<str> Regression
Grid (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
-INTERCEPT:<str> Intercept
Boolean
Default: 1
-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