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.
