Zonal Multiple Regression Analysis (Points and Predictor Grids)
- Author: O.Conrad, P.Gandelli (c) 2015
- Menu: Spatial and Geostatistics | Regression
Description
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.
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 |
Command Line
Usage: saga_cmd statistics_regression 15 [-PREDICTORS] [-ZONES ] [-POINTS ] [-ATTRIBUTE ] [-RESIDUALS ] [-REGRESSION ] [-RESAMPLING ] [-COORD_X ] [-COORD_Y ] [-INTERCEPT ] [-METHOD ] [-P_VALUE ] -PREDICTORS: Predictors grid list, input -ZONES: Zones shapes, input -POINTS: Points shapes, input -ATTRIBUTE: Dependent Variable table field -RESIDUALS: Residuals shapes, output, optional -REGRESSION: Regression grid, output -RESAMPLING: Resampling choice Available Choices: [0] Nearest Neighbour [1] Bilinear Interpolation [2] Bicubic Spline Interpolation [3] B-Spline Interpolation Default: 3 -COORD_X: Include X Coordinate boolean Default: 0 -COORD_Y: Include Y Coordinate boolean Default: 0 -INTERCEPT: Intercept boolean Default: 1 -METHOD: Method choice Available Choices: [0] include all [1] forward [2] backward [3] stepwise Default: 3 -P_VALUE: Significance Level floating point number Minimum: 0.000000 Maximum: 100.000000 Default: 5.000000