Imports: distillery, maps, boot, CircStats, fastcluster, waveslim

Description: Contains functions to perform spatial forecast verification.

Description: 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.

Description: 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>.

Imports: spatstat.geom, spatstat.core, spatstat.linnet, distillery,
maps, boot, CircStats, fastcluster, waveslim

Authors@R: 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" ) )
Depends: R (>= 4.1.0), spatstat (>= 2.0-0), fields (>= 6.8), smoothie,
Description: 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>.

Imports: spatstat.geom, spatstat.linnet, spatstat.model, distillery,
maps, methods, boot, CircStats, fastcluster, waveslim
Description: 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>.