GWR and MGWR

MGWFER: Causal Spatially Varying Coefficients via Panel Fixed Effects

When we measure how a relationship changes from place to place, hidden features of each place can distort the answer. This Python tutorial follows a 2026 study by Li and Fotheringham and uses simulated data on 225 places over three periods to show how following the same places over time removes that distortion. It comes with an interactive app that runs in your web browser.

Multiscale Geographically Weighted Regression: Spatially Varying Economic Convergence in Indonesia

Do poorer districts in Indonesia catch up with richer ones at the same pace everywhere? This Python tutorial uses a map-based regression that lets each relationship change from place to place, each at its own geographic scale, across 514 districts. It comes with an interactive app that runs in your web browser.

Studying spatial heterogeneity

A geocomputational notebook to study spatial heterogeneity using the GWR and MGWR frameworks.