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: 0.8
Depends: R (≥ 2.10.0), spatstat (≥ 2.0-0), fields (≥ 6.8), smoothie, smatr, turboEM
Imports: spatstat.geom, spatstat.core, spatstat.linnet, distillery, maps, boot, CircStats, fastcluster, waveslim
Published: 2021-03-27
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

Documentation:

Reference manual: SpatialVx.pdf

Downloads:

Package source: SpatialVx_0.8.tar.gz
Windows binaries: r-devel: SpatialVx_0.8.zip, r-release: SpatialVx_0.8.zip, r-oldrel: SpatialVx_0.8.zip
macOS binaries: r-release (arm64): SpatialVx_0.8.tgz, r-release (x86_64): SpatialVx_0.8.tgz, r-oldrel: SpatialVx_0.8.tgz
Old sources: SpatialVx archive

Reverse dependencies:

Reverse suggests: smoothie

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SpatialVx to link to this page.