GWR Predictor

Geographically Weighted Regression Predictor. It will predict the dependent variable using the model and the input table.

Note: The input table should not contain missing values. You can use the Missing Value node to replace them.

Options

Geometry column: Select the geometry column to use.
Independent variables: The columns containing the independent variables to use for the calculation of Geographically Weighted Regression.

: Output table with predictions for Geographically Weighted Regression Predictor

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To use this node in KNIME, install the extension Geospatial Analytics Extension for KNIME from the below update site following our NodePit Product and Node Installation Guide:

v5.2

A zipped version of the software site can be downloaded here.

Plugin provider: SDL, Harvard, Cambridge US

Plugin version: 1.2.0.202311151543

On NodePit since: 2023-12-06

Last update: 2024-04-29

KNIME versions: Since v5.2

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