mgwr

MGWR 2.0 Software

A lightweight Python tool for visualizing coefficient surfaces and uncertainty estimates from spatially varying coefficient (SVC) models. Designed for simplicity, clarity, and reproducibility, svc-viz lets users generate interpretable maps with minimal code and supports outputs from MGWR, GWR, and other SVC frameworks.

All source of R codes for the replication of our results and figures on the paper, published in the journal of Health & Place.

The study utilizes Multiscale Geographically Weighted Regression (MGWR) to examine how built environment factors affect metro ridership in Chicago.

Multiscale GWR insurance risk pricing model for LA County. Full spatial regression progression: OLS -> Spatial Error -> GWR -> MGWR, with per-variable bandwidth analysis, significance-masked coefficient maps, LISA clustering, and an interactive Folium dashboard. FEMA, Census ACS, NIFC & OSM data.

Spatial analysis of foreign population concentration in metropolitan Japan using OLS, LISA, and MGWR.

Testing Jane Jacobs' natural surveillance thesis across Glasgow's 746 Data Zones

Tutorial about how to use mgwr

Research code for spatial analysis of depression prevalence and neighborhood environments in Seoul.