spatbiasFS: Field Significance Method of Elmore et al. (2006)

In SpatialVx: Spatial Forecast Verification

Field Significance Method of Elmore et al. (2006)

Description

Apply field significance method of Elmore et al. (2006).

Usage

spatbiasFS(X, Y, loc = NULL, block.length = NULL, alpha.boot = 0.05, field.sig = 0.05,
    bootR = 1000, ntrials = 1000, verbose = FALSE)

## S3 method for class 'spatbiasFS'
summary(object, ...)

## S3 method for class 'spatbiasFS'
plot(x, ...)

Arguments

X,Y	m by n matrices giving the verification and forecast fields, resp., for each of m time points (rows) and n locations (columns).
x,object	list object as returned by spatbiasFS.
loc	optional (for subsequent plotting) n by 2 matrix giving the lon/lat coordinates for the locations.
block.length	numeric giving the block length to be used n the block bootstrap algorithm. If NULL, floor(sqrt(n)) is used.
alpha.boot	numeric between 0 and 1 giving the confidence level desired for the bootstrap algorithm.
field.sig	numeric between 0 and 1 giving the desired field significance level.
bootR	numeric integer giving the number of bootstrap replications to use.
ntrials	numeric integer giving the number of Monte Carol iterations to use.
verbose	logical, should progress information be printed to the screen?
...	not used.

Details

See Elmore et al. (2006) for details.

Value

A list object with components:

data.name	character vector giving the name of the verification and forecast spatio-temporal fields used, and the associated location object (if not NULL).
block.boot.results	object of class LocSig
sig.results	list object containing information about the significance of the results.
field.significance,alpha.boot	field significance level and bootstrap CI level as input by field.sig alpha.boot arguments.
bootR,ntrials	same as arguments above.

Author(s)

Eric Gilleland and Kimberly L. Elmore

References

Elmore, K. L., Baldwin, M. E. and Schultz, D. M. (2006) Field significance revisited: Spatial bias errors in forecasts as applied to the Eta model. Mon. Wea. Rev., 134, 519–531.

See Also

MCdof, LocSig, tsboot

Examples

data(GFSNAMfcstEx)
data(GFSNAMobsEx)
data(GFSNAMlocEx)
id <- GFSNAMlocEx[,"Lon"] >=-95 & GFSNAMlocEx[,"Lon"] <= -75 & GFSNAMlocEx[,"Lat"] <= 32
loc <- GFSNAMlocEx[id,]
GFSobsSub <- GFSNAMobsEx[,id]
GFSfcstSub <- GFSNAMfcstEx[,id]
look <- spatbiasFS(GFSobsSub, GFSfcstSub, loc=loc, bootR=500, ntrials=500)
plot(look)
summary(look)

SpatialVx documentation built on Nov. 10, 2022, 5:56 p.m.