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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.

Input Ports

: Input table for Geographically Weighted Regression Predictor
: Model for Geographically Weighted Regression Predictor

Output Ports

: Output table with predictions for Geographically Weighted Regression Predictor

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Installation

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: 1.3.0.202412051033

On NodePit since: 2023-12-06

Last update: 2024-12-18

KNIME versions: From v5.2 to v5.2

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