Tool Multiple Regression Analysis (Points and Predictor Grids)
Linear regression analysis of point attributes with multiple 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.
References
- Bahrenberg, G., Giese, E., Nipper, J. (1992): Statistische Methoden in der Geographie 2 - Multivariate Statistik. Stuttgart, 415p.
- Author: O.Conrad (c) 2004
- Menu: Spatial and Geostatistics|Regression
Parameters
Name | Type | Identifier | Description | Constraints | |
---|---|---|---|---|---|
Input | Predictors | grid list, input | PREDICTORS | - | - |
Points | shapes, input | POINTS | - | - | |
Output | Details: Coefficients (*) | table, output, optional | INFO_COEFF | - | - |
Details: Model (*) | table, output, optional | INFO_MODEL | - | - | |
Details: Steps (*) | table, output, optional | INFO_STEPS | - | - | |
Residuals (*) | shapes, output, optional | RESIDUALS | - | - | |
Regression | grid, output | REGRESSION | regression model applied to predictor grids | - | |
Regression with Residual Correction (*) | grid, output, optional | REGRESCORR | regression model applied to predictor grids with interpolated residuals added | - | |
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 | |
Cross Validation | choice | CROSSVAL | - | Available Choices: [0] none [1] leave one out [2] 2-fold [3] k-fold Default: 0 | |
Cross Validation Subsamples | integer number | CROSSVAL_K | number of subsamples for k-fold cross validation | Minimum: 2 Default: 10 | |
Residual Interpolation | choice | RESIDUAL_COR | - | Available Choices: [0] Multilevel B-Spline Interpolation [1] Inverse Distance Weighted Default: 0 | |
(*) optional |
Command-line
Usage: saga_cmd statistics_regression 1 [-PREDICTORS <str>] [-POINTS <str>] [-ATTRIBUTE <str>] [-INFO_COEFF <str>] [-INFO_MODEL <str>] [-INFO_STEPS <str>] [-RESIDUALS <str>] [-REGRESSION <str>] [-REGRESCORR <str>] [-RESAMPLING <str>] [-COORD_X <str>] [-COORD_Y <str>] [-INTERCEPT <str>] [-METHOD <str>] [-P_VALUE <double>] [-CROSSVAL <str>] [-CROSSVAL_K <num>] [-RESIDUAL_COR <str>] -PREDICTORS:<str> Predictors grid list, input -POINTS:<str> Points shapes, input -ATTRIBUTE:<str> Dependent Variable table field -INFO_COEFF:<str> Details: Coefficients table, output, optional -INFO_MODEL:<str> Details: Model table, output, optional -INFO_STEPS:<str> Details: Steps table, output, optional -RESIDUALS:<str> Residuals shapes, output, optional -REGRESSION:<str> Regression grid, output -REGRESCORR:<str> Regression with Residual Correction grid, 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 -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 -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 number Minimum: 2 Default: 10 -RESIDUAL_COR:<str> Residual Interpolation choice Available Choices: [0] Multilevel B-Spline Interpolation [1] Inverse Distance Weighted Default: 0