bubble {sp} | R Documentation |
Create a bubble plot of spatial data, with options for bicolour residual plots (xyplot wrapper)
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)
obj |
object of, or extending, class SpatialPointsDataFrame or SpatialGridDataFrame, see coordinates or SpatialPointsDataFrame; the object knows about its spatial coordinates |
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 |
returns (or plots) the bubble plot; if identify
is TRUE, returns
the indexes (row numbers) of identified points.
Edzer J. Pebesma
data(meuse) coordinates(meuse) <- c("x", "y") # promote to SpatialDataFrame 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))