OLS with Spatial Test

Options

Geometry column

Select the geometry column to use.

ID column

Select the column which contains for each observation in the input data a unique ID, it should be an integer column. The IDs must match with the values of the Spatial Weights node ID column. If 'none' is selected, the IDs will be automatically generated from 0 to the number of rows flowing the order of the first input table.

Dependent variable

The column containing the dependent variable to use for the calculation of the spatial OLS model.

Independent variables

The columns containing the independent variables to use for the calculation of the spatial OLS model.

Spatial Diagnostics

If selected, the node computes the Anselin-Kelejian test

Robust

If ‘white’, then a White consistent estimator of the variance-covariance matrix is given. If ‘hac’, then a HAC consistent estimator of the variance-covariance matrix is given. Set to None for default.

Sig2n k

If True, then use n-k to estimate sigma^2. If False, use n. Default set to True.

Moran

If True, compute Moran’s I on the residuals. Note: requires spat_diag=True. Default set to True.

White Test

If True, compute White’s specification robust test (requires nonspat_diag=True). Default set to True.

Advanced Settings

Advanced Setting

VM

If True, include variance-covariance matrix in summary results. Default set to False.

Views

Model summary view

Model summary view of the spatial OLS model.

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