Tool Regression Kriging
Regression Kriging for grid interpolation from irregular sample points.
- Author: O.Conrad (c) 2015
- Menu: Spatial and Geostatistics|Kriging
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 | 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, CMD | VAR_MAXDIST | maximum distance for variogram estimation, ignored if set to zero | Minimum: 0.000000 Default: 0.000000 |
Lag Distance Classes | Integer, CMD | VAR_NCLASSES | initial number of lag distance classes for variogram estimation | Minimum: 1 Default: 100 |
Skip | Integer, CMD | VAR_NSKIP | - | Minimum: 1 Default: 1 |
Variogram Model | Text, CMD | 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 | 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 | 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 | SEARCH_POINTS_MIN | minimum number of points to use | Minimum: 1 Default: 16 |
Maximum | Integer | SEARCH_POINTS_MAX | maximum number of nearest points | Minimum: 1 Default: 20 |
(*) optional |
Command-line
Usage: saga_cmd statistics_kriging 3 [-POINTS <str>] [-FIELD <str>] [-PREDICTORS <str>] [-REGRESSION <str>] [-PREDICTION <str>] [-RESIDUALS <str>] [-VARIANCE <str>] [-TQUALITY <str>] [-INFO_COEFF <str>] [-INFO_MODEL <str>] [-INFO_STEPS <str>] [-COORD_X <str>] [-COORD_Y <str>] [-INTERCEPT <str>] [-METHOD <str>] [-P_VALUE <double>] [-RESAMPLING <str>] [-VAR_MAXDIST <double>] [-VAR_NCLASSES <num>] [-VAR_NSKIP <num>] [-VAR_MODEL <str>] [-KRIGING <str>] [-LOG <str>] [-BLOCK <str>] [-DBLOCK <double>] [-SEARCH_RANGE <str>] [-SEARCH_RADIUS <double>] [-SEARCH_POINTS_ALL <str>] [-SEARCH_POINTS_MIN <num>] [-SEARCH_POINTS_MAX <num>]
-POINTS:<str> Points
Shapes, input
-FIELD:<str> Attribute
Table field
-PREDICTORS:<str> Predictors
Grid list, input
-REGRESSION:<str> Regression
Grid, output
-PREDICTION:<str> Prediction
Grid, output
-RESIDUALS:<str> Residuals
Grid, output, optional
-VARIANCE:<str> Prediction Error
Grid, output, optional
-TQUALITY:<str> Error Measure
Choice
Available Choices:
[0] standard deviation
[1] variance
Default: 0
-INFO_COEFF:<str> Regression: Coefficients
Table, output, optional
-INFO_MODEL:<str> Regression: Model
Table, output, optional
-INFO_STEPS:<str> Regression: Steps
Table, output, optional
-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
Minimum: 0.000000
Maximum: 100.000000
Default: 5.000000
-RESAMPLING:<str> Resampling
Choice
Available Choices:
[0] Nearest Neighbour
[1] Bilinear Interpolation
[2] Bicubic Spline Interpolation
[3] B-Spline Interpolation
Default: 3
-VAR_MAXDIST:<double> Maximum Distance
Floating point, CMD
Minimum: 0.000000
Default: 0.000000
-VAR_NCLASSES:<num> Lag Distance Classes
Integer, CMD
Minimum: 1
Default: 100
-VAR_NSKIP:<num> Skip
Integer, CMD
Minimum: 1
Default: 1
-VAR_MODEL:<str> Variogram Model
Text, CMD
Default: a + b * x
-KRIGING:<str> Kriging Type
Choice
Available Choices:
[0] Simple Kriging
[1] Ordinary Kriging
Default: 0
-LOG:<str> Logarithmic Transformation
Boolean
Default: 0
-BLOCK:<str> Block Kriging
Boolean
Default: 0
-DBLOCK:<double> Block Size
Floating point
Minimum: 0.000000
Default: 100.000000
-SEARCH_RANGE:<str> Search Range
Choice
Available Choices:
[0] local
[1] global
Default: 1
-SEARCH_RADIUS:<double> Maximum Search Distance
Floating point
Minimum: 0.000000
Default: 1000.000000
-SEARCH_POINTS_ALL:<str> Number of Points
Choice
Available Choices:
[0] maximum number of nearest points
[1] all points within search distance
Default: 1
-SEARCH_POINTS_MIN:<num> Minimum
Integer
Minimum: 1
Default: 16
-SEARCH_POINTS_MAX:<num> Maximum
Integer
Minimum: 1
Default: 20