This node is currently not available in KNIME v5.9 — instead we’re showing this page for KNIME v5.2. You can use the version menu in the title bar to permanently switch your preferred version. This will also show the link to the update site.

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

Popular Predecessors

No recommendations found

Popular Successors

No recommendations found

Views

This node has no views

Workflows

No workflows found

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

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: 1.3.2.202508291419

On NodePit since: 2023-12-06

Last update: 2026-01-01

KNIME versions: From v5.2 to v5.2

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!