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: 1.0-3 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: 2024-11-26 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 <eric.gilleland at colostate.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Citation: SpatialVx citation info CRAN checks: SpatialVx results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=SpatialVx to link to this page.
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