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 |
Depends: |
R (≥ 4.1.0), spatstat (≥ 2.0-0), fields (≥ 6.8), smoothie, smatr, turboEM |
Imports: |
spatstat.geom, spatstat.core, spatstat.linnet, distillery, maps, methods, boot, CircStats, fastcluster, waveslim |
Published: |
2022-07-19 |
Author: |
Eric Gilleland [aut, cre],
Kim Elmore [ctb],
Caren Marzban [ctb],
Matt Pocernich [ctb],
Gregor Skok [ctb] |
Maintainer: |
Eric Gilleland <EricG at ucar.edu> |
BugReports: |
https://staff.ral.ucar.edu/ericg/ |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://projects.ral.ucar.edu/icp/SpatialVx/ |
NeedsCompilation: |
no |
Citation: |
SpatialVx citation info |
CRAN checks: |
SpatialVx results |