| Environments | PYTHON :: EASI :: MODELER |
| Batch Mode | Yes |
| Quick links | Description :: Parameters :: Parameter descriptions :: Details |
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| Name | Type | Length | Value range |
|---|---|---|---|
| Input 1: Input 1 * | Raster port | 1 - | |
| Input 2: Input layer 2 * | Raster port | 1 - | |
| Resample Mode: Resample mode | Raster port | 5 - 1 | Nearest | Bilinear | Cubic Default: Nearest |
| Mask: Area mask | Bitmap port | 0 - 4 | |
| Regression equation intercept | Float | 0 - 1 | |
| Regression equation slope | Float | 0 - 1 | |
| Coefficient of Non-Determination (1-R^2) | Float | 0 - 1 | |
| Correlation Coefficient (R) | Float | 0 - 1 | |
| Number of samples | Float | 0 - 1 | |
| Report | String | 0 - 192 | See parameter description |
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Input 1: Input 1
Specifies input image layer 1 for which the linear regression equation is calculated.
Input 2: Input layer 2
Specifies input image layer 2 for which the linear regression equation is calculated.
Resample Mode: Resample mode
The default value is Nearest.
Mask: Area mask
Specifies the window or bitmap that defines the area to be processed within the input raster.
If no value is specified, the entire channel is processed.
Regression equation intercept
Generated by SPLREG. Specifies the value of coefficient A of the first-order linear regression equation that relates gray-level values in two specified image layers (Input1 and Input2).
Regression equation slope
Generated by SPLREG. Specifies the value of coefficient B of the first-order linear regression equation that relates gray-level values in two specified image layers (Input1 and Input2).
Coefficient of Non-Determination (1-R^2)
Generated by SPLREG. Specifies the Coefficient of Non-Determination (1 - R^2) value, from the first-order linear regression equation that relates gray-level values in two specified image layers (Input1 and Input2).
Correlation Coefficient (R)
Generated by SPLREG. Specifies the Correlation Coefficient (R) value, from the first-order linear regression equation that relates gray-level values in two specified image layers (Input1 and Input2).
Number of samples
Generated by SPLREG. Specifies is the number of samples used for the regression.
Report
Specifies where to direct the generated report.
Available options are:
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SPLREG determines the coefficients for a first-order linear regression equation that relates gray-level values in two specified image channels, and saves the coefficient values, the Coefficient of Non-Determination (1 - R^2) and Correlation Coefficient (R) and the number of samples in the output parameters (A, B, 1 - R^2, R, number of samples). The equation specifies a straight line which would go through a scatterplot. The Coefficient of Non-Determination (1 - R^2) indicates the amount of variation in X that is not explained by the regression equation. If X and Y are perfectly correlated, 1 - R^2 = 0; if X and Y are totally uncorrelated, 1 - R^2 = 1.
The MASK parameter specifies the area within the input channel to be sampled for calculation of the linear regression equation. Only the area under the MASK is processed; the rest of the image is not used in the calculations.
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