sp (version 0.9-78)

bubble: Create a bubble plot of spatial data

Description

Create a bubble plot of spatial data, with options for bicolour residual plots (xyplot wrapper)

Usage

bubble(obj, zcol = 1, ..., fill = TRUE, maxsize = 3, do.sqrt = TRUE, pch, 
	col = c(2,3), key.entries = quantile(data[,zcol]), main, 
	identify = FALSE, labels = row.names(data.frame(obj)), key.space = "right",
	scales = list(draw = FALSE), xlab = NULL, ylab = NULL, panel = panel.bubble,
	sp.layout = NULL)

Arguments

obj

object of, or extending, class SpatialPointsDataFrame or SpatialGridDataFrame, see coordinates or SpatialPointsDataFrame; the object knows about its spatial coord

zcol

z-variable column name, or column number after removing spatial coordinates from x@data: 1 refers to the first non-coordinate column

fill

logical; if TRUE, filled circles are plotted (pch = 16), else open circles (pch = 1); the pch argument overrides this

maxsize

cex value for largest circle

do.sqrt

logical; if TRUE the plotting symbol area (sqrt(diameter)) is proportional to the value of the z-variable; if FALSE, the symbol size (diameter) is proportional to the z-variable

pch

plotting character

col

colours to be used; numeric vector of size two: first value is for negative values, second for positive values.

key.entries

the values that will be plotted in the key; by default the five quantiles min, q.25, median q.75, max

main

main plotting title

identify

logical; if true, regular plot is called instead of xyplot, and followed by a call to identify().

labels

labels argument passed to plot if identify is TRUE

...

arguments, passed to xyplot, or plot if identification is required.

key.space

location of the key

scales

scales argument as passed to xyplot

xlab

x-axis label

ylab

y-axis label

panel

panel function used

sp.layout

possible layout items; see spplot

Value

• returns (or plots) the bubble plot; if identify is TRUE, returns the indexes (row numbers) of identified points.

See Also

xyplot, mapasp, identify

Examples

data(meuse)
coordinates(meuse) <- c("x", "y") # promote to SpatialPointsDataFrame
bubble(meuse, "cadmium", maxsize = 2.5, main = "cadmium concentrations (ppm)", 
    key.entries = 2^(-1:4))
bubble(meuse, "zinc", main = "zinc concentrations (ppm)",
    key.entries =  100 * 2^(0:4))