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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.

copied from cf-staging / r-spatialvx
Type Size Name Uploaded Downloads Labels
conda 4.5 MB | noarch/r-spatialvx-0.6_5-r36h6115d3f_2.tar.bz2  4 years and 11 months ago 3012 main
conda 4.5 MB | noarch/r-spatialvx-0.6_5-r40h6115d3f_2.tar.bz2  4 years and 11 months ago 3026 main
conda 4.5 MB | noarch/r-spatialvx-0.6_5-r36h6115d3f_1.tar.bz2  5 years and 8 months ago 3930 main cf202003
conda 4.5 MB | noarch/r-spatialvx-0.6_5-r35h6115d3f_1.tar.bz2  5 years and 8 months ago 3951 main cf202003
conda 4.5 MB | noarch/r-spatialvx-0.6_5-r351h6115d3f_0.tar.bz2  5 years and 9 months ago 3934 main cf202003

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