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> and for a tutorial on some of the main functions available here, see Gilleland (2022) <doi:10.5065/4px3-5a05>.

Version: 1.0-2
Depends: R (≥ 4.1.0), spatstat (≥ 2.0-0), fields (≥ 6.8), smoothie, smatr, turboEM
Imports: spatstat.geom, spatstat.linnet, spatstat.model, distillery, maps, methods, boot, CircStats, fastcluster, waveslim
Published: 2024-02-01
DOI: 10.32614/CRAN.package.SpatialVx
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
Citation: SpatialVx citation info
CRAN checks: SpatialVx results


Reference manual: SpatialVx.pdf


Package source: SpatialVx_1.0-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SpatialVx_1.0-2.tgz, r-oldrel (arm64): SpatialVx_1.0-2.tgz, r-release (x86_64): SpatialVx_1.0-2.tgz, r-oldrel (x86_64): SpatialVx_1.0-2.tgz
Old sources: SpatialVx archive

Reverse dependencies:

Reverse suggests: smoothie


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