SpatialVx (version 0.6-5)

hoods2dPlot: Quilt Plot and a Matrix Plot.

Description

Function to make a quilt plot and a matrix plot for a matrix whose rows represent neighborhood lengths, and whose columns represent different threshold choices.

Usage

hoods2dPlot(x, args, matplotcol = 1:6, ...)

Arguments

x

l by q numeric matrix.

args

list object with components: threshold (numeric vector giving the threshold values), qs (optional numeric vector giving the quantiles used if the thresholds represent quantiles rather than hard values), levels (numeric giving the neighborhood lengths (in grid squares) used, units (optional character giving the units for the thresholds)

matplotcol

col argument to matplot.

…

optional arguments to image and image.plot functions. May not include xaxt, yaxt, lab, lab, col, or legend.only

Value

No value is returned. A plot is created.

Details

Used by plot.hoods2d, but can be useful for other functions. Generally, however, this is an internal function that should not be called by the user. However, it might be called instead of plot.hoods2d in order to make a subset of the available plots.

References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

See Also

matplot, image, image.plot, plot.hoods2d, hoods2d

Examples

# NOT RUN {
x <- y <- matrix( 0, 50, 50)
x[ sample(1:50,10), sample(1:50,10)] <- rexp( 100, 0.25)
y[ sample(1:50,20), sample(1:50,20)] <- rexp( 400)

hold <- make.SpatialVx(x, y, thresholds=c(0.1, 0.5), field.type="random")

look <- hoods2d(hold, which.methods=c("multi.event", "fss"),
    levels=c(1, 3, 20))

hoods2dPlot( look$multi.event$hk, args=hold,
    main="Hanssen Kuipers Score (Multi-Event Cont. Table)")
# }
# NOT RUN {
data( "geom001" )
data( "geom000" )
data( "ICPg240Locs" )

hold <- make.SpatialVx( geom000, geom001, thresholds = c(0.01, 50.01),
    loc = ICPg240Locs, projection = TRUE, map = TRUE, loc.byrow = TRUE,
    field.type = "Precipitation", units = "mm/h",
    data.name = "Geometric ICP Test Cases", obs.name = "geom000",
    model.name = "geom001" )

look <- hoods2d(hold, levels=c(1, 3, 5, 17, 33, 65), verbose=TRUE)
par(mfrow=c(1,2))
hoods2dPlot(look$pragmatic$bss, args=attributes(hold))
# }