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.

Version: 0.7
Depends: R (≥ 2.10.0), spatstat, fields (≥ 6.8), smoothie, smatr, turboEM
Imports: distillery, maps, boot, CircStats, fastcluster, waveslim
Published: 2020-09-01
Author: Eric Gilleland
Maintainer: Eric Gilleland <EricG at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SpatialVx results


Reference manual: SpatialVx.pdf
Package source: SpatialVx_0.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: SpatialVx_0.7.tgz, r-oldrel: SpatialVx_0.7.tgz
Old sources: SpatialVx archive

Reverse dependencies:

Reverse suggests: smoothie


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