SAGA 9.4.2 | Tool Library Documentation

GWR for Multiple Predictor Grids


Description

Geographically Weighted Regression for a multiple predictors supplied as grids, to which the regression model is applied. Further details can be stored optionally.


References


Parameters

 NameTypeIdentifierDescriptionConstraints
InputPointsshapes, inputPOINTS--
Predictorsgrid list, inputPREDICTORS--
OutputResidualsshapes, output, optionalRESIDUALS--
Regressiongrid, outputREGRESSION--
Coefficient of Determinationgrid, outputQUALITY--
Regression Parametersgrid list, output, optionalMODEL--
OptionsGrid Systemgrid systemPARAMETERS_GRID_SYSTEM--
Dependent Variabletable fieldDEPENDENT--
Logistic RegressionbooleanLOGISTIC-Default: 0
Output of Regression ParametersbooleanMODEL_OUT-Default: 0
Model ResolutionchoiceRESOLUTION-Available Choices: [0] same as predictors [1] user defined Default: 1
Resolutionfloating point numberRESOLUTION_VALmap unitsMinimum: 0.000000 Default: 1.000000
Weighting FunctionchoiceDW_WEIGHTING-Available Choices: [0] no distance weighting [1] inverse distance to a power [2] exponential [3] gaussian Default: 3
Powerfloating point numberDW_IDW_POWER-Minimum: 0.000000 Default: 2.000000
Bandwidthfloating point numberDW_BANDWIDTHBandwidth for exponential and Gaussian weightingMinimum: 0.000000 Default: 1.000000
Search RangechoiceSEARCH_RANGE-Available Choices: [0] local [1] global Default: 1
Maximum Search Distancefloating point numberSEARCH_RADIUSlocal maximum search distance given in map unitsMinimum: 0.000000 Default: 1000.000000
Number of PointschoiceSEARCH_POINTS_ALL-Available Choices: [0] maximum number of nearest points [1] all points within search distance Default: 1
Minimuminteger numberSEARCH_POINTS_MINminimum number of points to useMinimum: 1 Default: 16
Maximuminteger numberSEARCH_POINTS_MAXmaximum number of nearest pointsMinimum: 1 Default: 20

Command Line


Usage: saga_cmd statistics_regression 6 [-POINTS ] [-DEPENDENT ] [-RESIDUALS ] [-PREDICTORS ] [-REGRESSION ] [-QUALITY ] [-MODEL ] [-LOGISTIC ] [-MODEL_OUT ] [-RESOLUTION ] [-RESOLUTION_VAL ] [-DW_WEIGHTING ] [-DW_IDW_POWER ] [-DW_BANDWIDTH ] [-SEARCH_RANGE ] [-SEARCH_RADIUS ] [-SEARCH_POINTS_ALL ] [-SEARCH_POINTS_MIN ] [-SEARCH_POINTS_MAX ]
  -POINTS:           	Points
	shapes, input
  -DEPENDENT:        	Dependent Variable
	table field
  -RESIDUALS:        	Residuals
	shapes, output, optional
  -PREDICTORS:       	Predictors
	grid list, input
  -REGRESSION:       	Regression
	grid, output
  -QUALITY:          	Coefficient of Determination
	grid, output
  -MODEL:            	Regression Parameters
	grid list, output, optional
  -LOGISTIC:         	Logistic Regression
	boolean
	Default: 0
  -MODEL_OUT:        	Output of Regression Parameters
	boolean
	Default: 0
  -RESOLUTION:       	Model Resolution
	choice
	Available Choices:
	[0] same as predictors
	[1] user defined
	Default: 1
  -RESOLUTION_VAL:	Resolution
	floating point number
	Minimum: 0.000000
	Default: 1.000000
  -DW_WEIGHTING:     	Weighting Function
	choice
	Available Choices:
	[0] no distance weighting
	[1] inverse distance to a power
	[2] exponential
	[3] gaussian
	Default: 3
  -DW_IDW_POWER:  	Power
	floating point number
	Minimum: 0.000000
	Default: 2.000000
  -DW_BANDWIDTH:  	Bandwidth
	floating point number
	Minimum: 0.000000
	Default: 1.000000
  -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