Tool Regression Analysis (Points and Predictor Grid)
Regression analysis of point attributes with a grid as predictor. The regression function is used to create a new grid with regression based values.
References
- Bahrenberg, G., Giese, E., Nipper, J. (1990): Statistische Methoden in der Geographie 1 - Univariate und bivariate Statistik. Stuttgart, 233p.
- Author: O.Conrad (c) 2004
- Menu: Spatial and Geostatistics|Regression
Parameters
| | Name | Type | Identifier | Description | Constraints |
|---|
| Input | Predictor | grid, input | PREDICTOR | - | - |
| Observations | shapes, input | POINTS | - | - |
| Output | Regression | grid, output | REGRESSION | - | - |
| Residuals (*) | shapes, output, optional | RESIDUAL | - | - |
| 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 |
| Regression Function | choice | METHOD | - | Available Choices:
[0] y = a + b * x (linear)
[1] y = a + b / x
[2] y = a / (b - x)
[3] y = a * x^b (power)
[4] y = a e^(b * x) (exponential)
[5] y = a + b * ln(x) (logarithmic)
Default: 0 |
| (*) optional |
Command-line
Usage: saga_cmd statistics_regression 0 [-PREDICTOR <str>] [-POINTS <str>] [-ATTRIBUTE <str>] [-REGRESSION <str>] [-RESIDUAL <str>] [-RESAMPLING <str>] [-METHOD <str>]
-PREDICTOR:<str> Predictor
grid, input
-POINTS:<str> Observations
shapes, input
-ATTRIBUTE:<str> Dependent Variable
table field
-REGRESSION:<str> Regression
grid, output
-RESIDUAL:<str> Residuals
shapes, output, optional
-RESAMPLING:<str> Resampling
choice
Available Choices:
[0] Nearest Neighbour
[1] Bilinear Interpolation
[2] Bicubic Spline Interpolation
[3] B-Spline Interpolation
Default: 3
-METHOD:<str> Regression Function
choice
Available Choices:
[0] y = a + b * x (linear)
[1] y = a + b / x
[2] y = a / (b - x)
[3] y = a * x^b (power)
[4] y = a e^(b * x) (exponential)
[5] y = a + b * ln(x) (logarithmic)
Default: 0