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, output, optional | 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 number | 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, output, optional
-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 number
Minimum: 0.000000
Maximum: 100.000000
Default: 5.000000