Zonal Multiple Regression Analysis (Points and Predictor Grids)

Author: O.Conrad, P.Gandelli (c) 2015
Menu: Spatial and Geostatistics | Regression

Description

Linear regression analysis of point attributes using multiple predictor grids. Details of the regression/correlation analysis will be saved to a table. The regression function is used to create a new grid with regression based values. The multiple regression analysis uses a forward selection procedure. Each polygon in the zones layer is processed as individual zone.

References

Bahrenberg, G., Giese, E., Nipper, J. (1992): Statistische Methoden in der Geographie 2 - Multivariate Statistik. Stuttgart, 415p.

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Predictors	grid list, input	`PREDICTORS`	-	-
	Zones	shapes, input	`ZONES`	-	-
	Points	shapes, input	`POINTS`	-	-
Output	Residuals	shapes, output, optional	`RESIDUALS`	-	-
Output	Regression	grid, output	`REGRESSION`	-	-
Options	Grid System	grid system	`PARAMETERS_GRID_SYSTEM`	-	-
	Dependent Variable	table field	`ATTRIBUTE`	-	-
	Resampling	choice	`RESAMPLING`	-	Available Choices: [0] Nearest Neighbour [1] Bilinear [2] Cubic 1 [3] Cubic 2 Default: 3
	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

Command Line


Usage: saga_cmd statistics_regression 15 [-PREDICTORS ] [-ZONES ] [-POINTS ] [-ATTRIBUTE ] [-RESIDUALS ] [-REGRESSION ] [-RESAMPLING ] [-COORD_X ] [-COORD_Y ] [-INTERCEPT ] [-METHOD ] [-P_VALUE ]
  -PREDICTORS:   Predictors
	grid list, input
  -ZONES:        Zones
	shapes, input
  -POINTS:       Points
	shapes, input
  -ATTRIBUTE:    Dependent Variable
	table field
  -RESIDUALS:    Residuals
	shapes, output, optional
  -REGRESSION:   Regression
	grid, output
  -RESAMPLING:
                      Resampling
                      	choice
                      	Available Choices:
                      	[0] Nearest Neighbour
                      	[1] Bilinear
                      	[2] Cubic 1
                      	[3] Cubic 2
                      	Default: 3
  -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