GWR Model

Performs Geographically Weighted Regression (GWR), a local form of linear regression used to model spatially varying relationships. Can currently estimate Gaussian, Poisson, and logistic models (built on a GLM framework). More details can be found at here .

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

Input ports

1. Type: Table
   Input Table

   Input Table for Geographically Weighted Regression

Output ports

1. Type: Table
   Model Coefficients Table

   Model Coefficients Table for Geographically Weighted Regression

2. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
   Model

   Model for Geographically Weighted Regression