r-spatialvx

condav1.0_1

Spatial forecast verification arose from verifying high-resolution forecasts, where coarser-resolution models generally are favored even when a human forecaster finds the higher-resolution model to be considerably better. Most newly proposed methods, which largely come from image analysis, computer vision, and similar, are available, with more on the way.

License GPL-2.0-or-later11 versions1 maintainers0 deps306 weekly dl
52
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safe to use

[email protected]_1 is safe to use (health: 52/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
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0
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First published · 2020-07-26 18:19:25.564000+00:00

Last updated · 2025-09-26 22:42:20.353000+00:00