MGWR 2.0 Software
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Updated
May 8, 2025 - Python
MGWR 2.0 Software
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.
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.
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