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.
This script loads the .tsf file generated from the GWR superconducting relative gravimeter iGrav and converts them to the CSV format. The generated CSVs will also be cleaned up from errors, such as NaN-only rows or time jumps due to GPS connection
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