gnnwr - Spatial Regression with GNNWR
Build spatially varying coefficient regression models with neural network geographic weighting for spatial and spatiotemporal data analysis.
Tags
Updated: 2026-05-09Capabilities
Typical Inputs
Typical Outputs
What this skill does
- build regression models
- analyze spatial data
- generate coefficient maps
- run spatiotemporal regression
- scale to large datasets
- diagnose model performance
Inputs
- spatial dataset
- geographic coordinates
- feature columns
- target columns
Outputs
- spatial coefficient maps
- model predictions
- diagnostic statistics
- residual maps
Requirements
- Python 3.x
- gnnwr>=0.1.0
- pandas
- torch
- GPU support (optional)