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: 0.7-1
Depends: R (≥ 2.10.0), spatstat, fields (≥ 6.8), smoothie, smatr, turboEM
Imports: distillery, maps, boot, CircStats, fastcluster, waveslim
Published: 2020-11-24
Author: Eric Gilleland
Maintainer: Eric Gilleland <EricG at ucar.edu>
BugReports: https://ral.ucar.edu/staff/ericg/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://ral.ucar.edu/projects/icp/SpatialVx/
NeedsCompilation: no
CRAN checks: SpatialVx results

Downloads:

Reference manual: SpatialVx.pdf
Package source: SpatialVx_0.7-1.tar.gz
Windows binaries: r-devel: SpatialVx_0.7-1.zip, r-release: SpatialVx_0.7-1.zip, r-oldrel: SpatialVx_0.7-1.zip
macOS binaries: r-release: SpatialVx_0.7-1.tgz, r-oldrel: SpatialVx_0.7-1.tgz
Old sources: SpatialVx archive

Reverse dependencies:

Reverse suggests: smoothie

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