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`	-	-
Input	Predictors	Grid list (input)	`PREDICTORS`	-	-
Output	Regression	Grid (output)	`REGRESSION`	regression model applied to predictor grids	-
	Prediction	Grid (output)	`PREDICTION`	-	-
	Residuals (*)	Grid (optional output)	`RESIDUALS`	-	-
	Prediction Error (*)	Grid (optional output)	`VARIANCE`	-	-
	Regression: Coefficients (*)	Table (optional output)	`INFO_COEFF`	-	-
	Regression: Model (*)	Table (optional output)	`INFO_MODEL`	-	-
	Regression: Steps (*)	Table (optional output)	`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	`VAR_MAXDIST`	maximum distance for variogram estimation, ignored if set to zero	Minimum: 0.000000 Default: 0.000000
	Lag Distance Classes	Integer	`VAR_NCLASSES`	initial number of lag distance classes for variogram estimation	Minimum: 1 Default: 100
	Skip	Integer	`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	`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 (optional output)
  -VARIANCE:<str>         	Prediction Error
	Grid (optional output)
  -TQUALITY:<str>         	Error Measure
	Choice
	Available Choices:
	[0] standard deviation
	[1] variance
	Default: 0
  -INFO_COEFF:<str>       	Regression: Coefficients
	Table (optional output)
  -INFO_MODEL:<str>       	Regression: Model
	Table (optional output)
  -INFO_STEPS:<str>       	Regression: Steps
	Table (optional output)
  -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
	Minimum: 0.000000
	Default: 0.000000
  -VAR_NCLASSES:<num>     	Lag Distance Classes
	Integer
	Minimum: 1
	Default: 100
  -VAR_NSKIP:<num>        	Skip
	Integer
	Minimum: 1
	Default: 1
  -VAR_MODEL:<str>        	Variogram Model
	Text
	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