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.
|Author||Eric Gilleland <EricG@ucar.edu>|
|Date of publication||2017-03-02 08:09:21|
|Maintainer||Eric Gilleland <EricG@ucar.edu>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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