ESRI.ArcGIS.SpatialStatisticsTools
GeographicallyWeightedRegression Constructor(Object,Object,Object,Object,String,String)
See Also  Send your comments to: Site Administrator | Terms of Use | PRIVACY | Copyright @ ESRI | Careers
ESRI.ArcGIS.SpatialStatisticsTools Namespace > GeographicallyWeightedRegression Class > GeographicallyWeightedRegression Constructor : GeographicallyWeightedRegression Constructor(Object,Object,Object,Object,String,String)




in_features
The feature class containing the dependent and independent variables. (In, Required)
dependent_field
The numeric field containing values for what you are trying to model. (In, Required)
explanatory_field
A list of fields representing independent explanatory variables in your regression model. (In, Required)
out_featureclass
The output feature class to receive dependent variable estimates and residuals. (Out, Required)
kernel_type
Specifies if the kernel is constructed as a fixed distance, or if it is allowed to vary in extent as a function of feature density. (In, Required)
bandwidth_method
Bandwidth method (in)
Constructor that takes all required parameters for geoprocessor execution.

Syntax

Visual Basic (Declaration) 
Public Function New( _
   ByVal in_features As Object, _
   ByVal dependent_field As Object, _
   ByVal explanatory_field As Object, _
   ByVal out_featureclass As Object, _
   ByVal kernel_type As String, _
   ByVal bandwidth_method As String _
)
Visual Basic (Usage)Copy Code
Dim in_features As Object
Dim dependent_field As Object
Dim explanatory_field As Object
Dim out_featureclass As Object
Dim kernel_type As String
Dim bandwidth_method As String
 
Dim instance As GeographicallyWeightedRegression(in_features, dependent_field, explanatory_field, out_featureclass, kernel_type, bandwidth_method)
C# 
public GeographicallyWeightedRegression( 
   object in_features,
   object dependent_field,
   object explanatory_field,
   object out_featureclass,
   string kernel_type,
   string bandwidth_method
)

Parameters

in_features
The feature class containing the dependent and independent variables. (In, Required)
dependent_field
The numeric field containing values for what you are trying to model. (In, Required)
explanatory_field
A list of fields representing independent explanatory variables in your regression model. (In, Required)
out_featureclass
The output feature class to receive dependent variable estimates and residuals. (Out, Required)
kernel_type
Specifies if the kernel is constructed as a fixed distance, or if it is allowed to vary in extent as a function of feature density. (In, Required)
bandwidth_method
Bandwidth method (in)

See Also

© 2010 All Rights Reserved.