R (>= 2.10.0), fields, spatstat, smatr, boot, waveslim,
LambertW

R (>= 2.10.0), fields, spatstat, smatr, boot, waveslim,
LambertW, turboEM

R (>= 2.10.0), fields, spatstat, smatr, boot, waveslim,
LambertW, turboEM, CircStats, fastcluster, maps

Functions to perform spatial forecast verification

R (>= 2.10.0), spatstat, fields (>= 6.8), smoothie, smatr,
turboEM
maps, boot, CircStats, fastcluster, waveslim

distillery, maps, boot, CircStats, fastcluster, waveslim

R (>= 2.10.0), spatstat (>= 1.37-0), fields (>= 6.8),
smoothie, smatr, turboEM

Contains functions to perform spatial forecast verification.

Spatial forecast verification arose from verifying high-resolution forecasts, where coarser-resolution models generally are favored even when a human forecaster finds the higher-resolution model to be considerably better.  Most newly proposed methods, which largely come from image analysis, computer vision, and similar, are available, with more on the way.

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>.

R (>= 2.10.0), spatstat (>= 2.0-0), fields (>= 6.8), smoothie,
smatr, turboEM
spatstat.geom, spatstat.core, spatstat.linnet, distillery,
maps, boot, CircStats, fastcluster, waveslim

c(person("Eric", "Gilleland", role = c("aut", "cre" ), email = "EricG@ucar.edu" ),
person("Kim", "Elmore", role = "ctb", email = "kim.elmore@noaa.gov" ),
person("Caren", "Marzban", role = "ctb", email = "marzban@stat.washington.edu" ),
person("Matt", "Pocernich", role = "ctb", email = "matt_pocernich@hotmail.com" ),
person("Gregor", "Skok", role = "ctb", email = "Gregor.Skok@fmf.uni-lj.si" ) )
Eric Gilleland [aut, cre],
Kim Elmore [ctb],
Caren Marzban [ctb],
Matt Pocernich [ctb],
Gregor Skok [ctb]
R (>= 4.1.0), spatstat (>= 2.0-0), fields (>= 6.8), smoothie,
smatr, turboEM
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>.