SpatialVx: Spatial Forecast Verification
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.
||R (≥ 2.10.0), spatstat (≥ 1.37-0), fields (≥ 6.8), smoothie, smatr, turboEM
||distillery, maps, boot, CircStats, fastcluster, waveslim
||Eric Gilleland <EricG at ucar.edu>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]