SpatialVx: Spatial Forecast Verification

Spatial forecast verification refers to verifying weather forecasts when the verification set (forecast and observations) is on a spatial field, usually a high-resolution gridded spatial field. Most of the functions here require the forecast and observed fields to be gridded and on the same grid. For a thorough review of most of the methods in this package, please see Gilleland et al. (2009) <doi:10.1175/2009WAF2222269.1>.

Version: 0.9
Depends: R (≥ 4.1.0), spatstat (≥ 2.0-0), fields (≥ 6.8), smoothie, smatr, turboEM
Imports: spatstat.geom, spatstat.core, spatstat.linnet, distillery, maps, boot, CircStats, fastcluster, waveslim
Published: 2022-01-27
Author: Eric Gilleland [aut, cre], Kim Elmore [ctb], Caren Marzban [ctb], Matt Pocernich [ctb], Gregor Skok [ctb]
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_0.9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SpatialVx_0.9.tgz, r-release (x86_64): SpatialVx_0.9.tgz, r-oldrel: SpatialVx_0.8.tgz
Old sources: SpatialVx archive

Reverse dependencies:

Reverse suggests: smoothie


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