Regression Analysis (Points and Predictor Grid)
- Author: O.Conrad (c) 2004
- Menu: Spatial and Geostatistics | Regression
Description
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.
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 |
Command Line
Usage: saga_cmd statistics_regression 0 [-PREDICTOR ] [-POINTS ] [-ATTRIBUTE ] [-REGRESSION ] [-RESIDUAL ] [-RESAMPLING ] [-METHOD ]
-PREDICTOR: Predictor
grid, input
-POINTS: Observations
shapes, input
-ATTRIBUTE: Dependent Variable
table field
-REGRESSION: Regression
grid, output
-RESIDUAL: Residuals
shapes, output, optional
-RESAMPLING: Resampling
choice
Available Choices:
[0] Nearest Neighbour
[1] Bilinear Interpolation
[2] Bicubic Spline Interpolation
[3] B-Spline Interpolation
Default: 3
-METHOD: 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