quilt.plot: Useful plots for visualizing irregular spatial data.

Description Usage Arguments Details Author(s) See Also Examples

Description

Given a vector of z values associated with 2-d locations this function produces an image-like plot where the locations are discretized to a grid and the z values are coded as a color level from a color scale.

Usage

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quilt.plot(x, y, z, nx = 64, ny = 64,  grid = NULL, 
           add.legend=TRUE,add=FALSE, nlevel=64, 
           col = tim.colors(nlevel),
           nrow=NULL, ncol=NULL,FUN =
                 NULL, plot=TRUE, na.rm=FALSE, ...)
                 
bubblePlot(x, y, z, col = tim.colors, horizontal = FALSE,
                 legend.cex = 1, legend.lab = NULL, legend.line = 2,
                 legend.shrink = 0.9, legend.width = 1.2, legend.mar =
                 ifelse(horizontal, 3.1, 5.1), axis.args = NULL,
                 legend.args = NULL, size = 1, add = FALSE,
                 legendLayout = NULL, highlight = TRUE, highlight.color
                 = "grey30", ...)

Arguments

x

A vector of the x coordinates of the locations -or- a a 2 column matrix of the x-y coordinates.

y

A vector of the y coordinates -or- if the locations are passed in x the z vector

z

Values of the variable to be plotted. For bubblePlot if a character or factor will be assigned colors based on the order of appearance.

nlevel

Number of color levels.

nx

Number of grid boxes in x if a grid is not specified.

ny

Number of grid boxes in y.

nrow

Depreciated, same as nx.

ncol

Depreciated same as ny.

grid

A grid in the form of a grid list.

add.legend

If TRUE a legend color strip is added

add

If FALSE add to existing plot.

col

Color function or the color scale for the image, the default is the tim.colors function – a pleasing spectrum for quilt.plot and the modern and versitle viridis for bubblePlot

plot

If FALSE just returns the image object instead of plotting it.

FUN

The function to apply to values that are common to a grid box. The default is to find the mean. (see as.image).

na.rm

If FALSE NAs are not removed from zand so a grid box even one of these values may be an NA. (See details below.)

size

Size of bubble dots in cex units. Can be a vector to procduce different size points in the scatterplot.

...

for quilt.plot arguments to be passed to the image.plot function. For bubblePlot arguments to be passed to the plot function if add=FALSE, the default and to the points function if add=TRUE.

horizontal

If false (default) legend will be a vertical strip on the right side. If true the legend strip will be along the bottom.

highlight

If TRUE will add a circle around the "bubble" in the color highlight.color.

highlight.color

Color of circle, default is a darker grey.

legend.cex

Character expansion to change size of the legend label.

legend.lab

Label for the axis of the color legend. Default is no label as this is usual evident from the plot title.

legend.line

Distance in units of character height (same as in mtext) of the legend label from the color bar. Make this larger if the label collides with the color axis labels.

legend.mar

Width in characters of legend margin that has the axis. Default is 5.1 for a vertical legend and 3.1 for a horizontal legend.

legend.shrink

Amount to shrink the size of legend relative to the full height or width of the plot.

legend.width

Width in characters of the legend strip. Default is 1.2, a little bigger that the width of a character.

axis.args

A list giving additional arguments for the axis function used to create the legend axis. (See examples in image.plot.)

legend.args

The nuclear option: arguments for a complete specification of the legend label, e.g. if you need to the rotate text or other details. This is in the form of a list and is just passed to the mtext function and you will need to give both the side and line arguments for positioning. This usually will not be needed. (See examples in image.plot .)

legendLayout

The list returned by setupLegend that has the legend information about positioning.

Details

quilt.plot This function combines the discretization to an image by the function as.image and is then graphed by image.plot. By default, locations that fall into the same grid box will have their z values averaged. This also means that observations that are NA will result in the grid box average also being NA and can produce unexpected results because the NA patterns can dominate the figure. If you are unsure of the effect try na.rm = TRUE for a comparison.

A similar function exists in the lattice package and produces spiffy looking plots. The advantage of this fields version is that it uses the standard R graphics functions and is written in R code. Also, the aggregation to average values for z values in the same grid box allows for different choices of grids. If two locations are very close, separating them could result in very small boxes.

Legend placement is never completely automatic. Place the legend independently for more control, perhaps using image.plot in tandem with split.screen or enlarging the plot margin See help(image.plot) for examples of this function and these strategies.

bubblePlot Why was this function was written for fields? Certainly ggplot has many options for this kind of figure. To quote Tim Hoar a gifted data scientist and software engineer at NCAR: "because we could". It is a crisp implementation of this type of plot using lower level fields functions. The user may choose simply to use the source code as the basis for a more detailed function. However, this is also a quick plot to introduce in teaching.

This function is experimental in the sense it explores setting out a plotting region in advance of the actual plotting using R base graphics. See the functions setupLegend and addLegend for more details. Other graphics approaches in R such as ggplot determine the plotting regions and layout based on having the entire figure specification at hand. Although this a comprehensive solution it also seems overkill to just add a lone color bar to annotate a plot. Moreover, and the graphics lower level functions to add the color bar legend are already available from the image.plot functio.

Author(s)

D.Nychka

See Also

as.image, image.plot, lattice, persp, drape.plot,

Examples

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data( ozone2)
# plot 16 day of ozone data set

quilt.plot( ozone2$lon.lat, ozone2$y[16,])
US( add=TRUE, col="grey", lwd=2)

bubblePlot( ozone2$lon.lat, ozone2$y[16,] )
US( add=TRUE, col="magenta", lwd=2)

# colors based on a factor or character vector
O3Levels<- cut( ozone2$y[16,], c( 0,40,60,80,Inf),
labels=c("low","bckgrd","med", "high"))
table( O3Levels)
bubblePlot( ozone2$lon.lat, O3Levels )
US( add=TRUE, col="magenta", lwd=2)







### adding a common legend strip "by hand"
## to a panel of plots 
## and a custom color table

coltab<- two.colors( 256, middle="grey50" )

par( oma=c( 0,0,0,5)) # save some room for the legend
set.panel(2,2)
zr<- range( ozone2$y, na.rm=TRUE)

for( k in 1:4){
quilt.plot( ozone2$lon.lat, ozone2$y[15+k,], add.legend=FALSE,
 zlim=zr, col=coltab, nx=40, ny=40)
US( add=TRUE)
}
par( oma=c(0,0,0,1))
image.plot(zlim=zr,legend.only=TRUE, col=coltab)
# may have to adjust number of spaces in oma to make this work.
  

fields documentation built on June 25, 2021, 5:08 p.m.

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