Regression Kriging
- Author: O.Conrad (c) 2015
- Menu: Spatial and Geostatistics | Kriging
Description
Regression Kriging for grid interpolation from irregular sample points.
Parameters
Name | Type | Identifier | Description | Constraints | |
---|---|---|---|---|---|
Input | Points | shapes, input | POINTS | - | - |
Predictors | grid list, input | PREDICTORS | - | - | |
Output | Regression | grid, output | REGRESSION | regression model applied to predictor grids | - |
Prediction | grid, output | PREDICTION | - | - | |
Residuals | grid, output, optional | RESIDUALS | - | - | |
Prediction Error | grid, output, optional | VARIANCE | - | - | |
Regression: Coefficients | table, output, optional | INFO_COEFF | - | - | |
Regression: Model | table, output, optional | INFO_MODEL | - | - | |
Regression: Steps | table, output, optional | INFO_STEPS | - | - | |
Options | Grid System | grid system | PARAMETERS_GRID_SYSTEM | - | - |
Attribute | table field | FIELD | - | - | |
Error Measure | choice | TQUALITY | - | Available Choices: [0] standard deviation [1] variance Default: 0 | |
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 | |
Resampling | choice | RESAMPLING | - | Available Choices: [0] Nearest Neighbour [1] Bilinear Interpolation [2] Bicubic Spline Interpolation [3] B-Spline Interpolation Default: 3 | |
Maximum Distance | floating point number | VAR_MAXDIST | maximum distance for variogram estimation, ignored if set to zero | Minimum: 0.000000 Default: 0.000000 | |
Lag Distance Classes | integer number | VAR_NCLASSES | initial number of lag distance classes for variogram estimation | Minimum: 1 Default: 100 | |
Skip | integer number | VAR_NSKIP | - | Minimum: 1 Default: 1 | |
Variogram Model | text | VAR_MODEL | - | Default: a + b * x | |
Kriging Type | choice | KRIGING | - | Available Choices: [0] Simple Kriging [1] Ordinary Kriging Default: 0 | |
Logarithmic Transformation | boolean | LOG | - | Default: 0 | |
Block Kriging | boolean | BLOCK | - | Default: 0 | |
Block Size | floating point number | DBLOCK | - | Minimum: 0.000000 Default: 100.000000 | |
Search Range | choice | SEARCH_RANGE | - | Available Choices: [0] local [1] global Default: 1 | |
Maximum Search Distance | floating point number | SEARCH_RADIUS | local maximum search distance given in map units | Minimum: 0.000000 Default: 1000.000000 | |
Number of Points | choice | SEARCH_POINTS_ALL | - | Available Choices: [0] maximum number of nearest points [1] all points within search distance Default: 1 | |
Minimum | integer number | SEARCH_POINTS_MIN | minimum number of points to use | Minimum: 1 Default: 16 | |
Maximum | integer number | SEARCH_POINTS_MAX | maximum number of nearest points | Minimum: 1 Default: 20 |
Command Line
Usage: saga_cmd statistics_kriging 3 [-POINTS] [-FIELD ] [-PREDICTORS ] [-REGRESSION ] [-PREDICTION ] [-RESIDUALS ] [-VARIANCE ] [-TQUALITY ] [-INFO_COEFF ] [-INFO_MODEL ] [-INFO_STEPS ] [-COORD_X ] [-COORD_Y ] [-INTERCEPT ] [-METHOD ] [-P_VALUE ] [-RESAMPLING ] [-VAR_MAXDIST ] [-VAR_NCLASSES ] [-VAR_NSKIP ] [-VAR_MODEL ] [-KRIGING ] [-LOG ] [-BLOCK ] [-DBLOCK ] [-SEARCH_RANGE ] [-SEARCH_RADIUS ] [-SEARCH_POINTS_ALL ] [-SEARCH_POINTS_MIN ] [-SEARCH_POINTS_MAX ] -POINTS: Points shapes, input -FIELD: Attribute table field -PREDICTORS: Predictors grid list, input -REGRESSION: Regression grid, output -PREDICTION: Prediction grid, output -RESIDUALS: Residuals grid, output, optional -VARIANCE: Prediction Error grid, output, optional -TQUALITY: Error Measure choice Available Choices: [0] standard deviation [1] variance Default: 0 -INFO_COEFF: Regression: Coefficients table, output, optional -INFO_MODEL: Regression: Model table, output, optional -INFO_STEPS: Regression: Steps table, output, optional -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 -RESAMPLING: Resampling choice Available Choices: [0] Nearest Neighbour [1] Bilinear Interpolation [2] Bicubic Spline Interpolation [3] B-Spline Interpolation Default: 3 -VAR_MAXDIST: Maximum Distance floating point number Minimum: 0.000000 Default: 0.000000 -VAR_NCLASSES: Lag Distance Classes integer number Minimum: 1 Default: 100 -VAR_NSKIP: Skip integer number Minimum: 1 Default: 1 -VAR_MODEL: Variogram Model text Default: a + b * x -KRIGING: Kriging Type choice Available Choices: [0] Simple Kriging [1] Ordinary Kriging Default: 0 -LOG: Logarithmic Transformation boolean Default: 0 -BLOCK: Block Kriging boolean Default: 0 -DBLOCK: Block Size floating point number Minimum: 0.000000 Default: 100.000000 -SEARCH_RANGE: Search Range choice Available Choices: [0] local [1] global Default: 1 -SEARCH_RADIUS: Maximum Search Distance floating point number Minimum: 0.000000 Default: 1000.000000 -SEARCH_POINTS_ALL: Number of Points choice Available Choices: [0] maximum number of nearest points [1] all points within search distance Default: 1 -SEARCH_POINTS_MIN: Minimum integer number Minimum: 1 Default: 16 -SEARCH_POINTS_MAX: Maximum integer number Minimum: 1 Default: 20