sp (version 0.9-78)

spplot: Plot methods for spatial data with attributes

Description

Lattice (trellis) plot methods for spatial data with attributes

Usage

spplot(obj, ...)
spplot.grid(obj, zcol = names(obj), ..., names.attr, 
	scales = list(draw = FALSE), xlab = NULL, ylab = NULL, aspect = mapasp(obj,xlim,ylim), 
	panel = panel.gridplot, sp.layout = NULL, formula, xlim = bbox(obj)[1, ], 
	ylim = bbox(obj)[2, ], checkEmptyRC = TRUE)
spplot.polygons(obj, zcol = names(obj), ..., names.attr, 
	scales = list(draw = FALSE), xlab = NULL, ylab = NULL, aspect = mapasp(obj,xlim,ylim), 
	panel = panel.polygonsplot, sp.layout = NULL, formula, xlim = bbox(obj)[1, ], 
	ylim = bbox(obj)[2, ])
spplot.points(obj, zcol = names(obj), ..., names.attr, 
	scales = list(draw = FALSE), xlab = NULL, ylab = NULL, aspect = mapasp(obj,xlim,ylim), 
	panel = panel.pointsplot, sp.layout = NULL, identify = FALSE, formula, 
	xlim = bbexpand(bbox(obj)[1, ], 0.04), ylim = bbexpand(bbox(obj)[2, ], 0.04))
mapLegendGrob(obj, widths = unit(1, "cm"), heights = unit(1, "cm"),
	fill = "black", just = "right")
sp.theme(set = FALSE, regions = list(col = bpy.colors(100)), ...)
layout.north.arrow(type = 1)
layout.scale.bar(height = 0.05)
spplot.locator(n = 512, type = "n", ...)

Arguments

obj

object of class extending Spatial-class

zcol

character; attribute name(s) or column number(s) in attribute table

names.attr

names to use in panel, if different from zcol names

scales

scales argument to be passed to Lattice plots; use list(draw = TRUE) to draw axes scales; see xyplot for full options

...

other arguments passed to levelplot (grids, polygons) or xyplot (points)

xlab

label for x-axis

ylab

label for y-axis

aspect

aspect ratio for spatial axes; defaults to "iso" (one unit on the x-axis equals one unit on the y-axis) but may be set to more suitable values if the data are e.g. if coordinates are latitude/longitude

panel

depending on the class of obj, panel.polygonsplot (for polygons or lines), panel.gridplot (grids) or panel.pointsplot (p

sp.layout

NULL or list; see notes below

identify

if not FALSE, identify plotted objects (currently only working for points plots). Labels for identification are the row.names of the attribute table row.names(as.data.frame(obj)). If TRUE, identify on panel (1,1); for identifying

formula

optional; may be useful to plot a transformed value. Defaults to z~x+y for single and z~x+y|name for multiple attributes; use e.g. exp(x)~x+y|name to plot the exponent of the z-variable

xlim

numeric; x-axis limits

ylim

numeric; y-axis limits

widths

width of grob

heights

heights of grob

fill

fill color of grob

just

grob placement justification

set

logical; if TRUE, trellis.par.set is called, else a list is returned that can be passed to trellis.par.set()

regions

color ramp for the theme

height

height of scale bar; width is 1.0

n

see locator

type

see locator

checkEmptyRC

logical; if TRUE, a check is done to see if empty rows or columns are present, and need to be taken care of. Setting to FALSE may improve speed.

Value

• spplot returns a lattice plot of class "trellis", if you fail to "see" it, explicitly call print(spplot(...)). If identify is TRUE, the plot is plotted and the return value is a vector with row names of the selected points.

  spplot.locator returns a matrix with identified point locations; use trellis.focus first to focus on a given panel.

References

http://r-spatial.sourceforge.net/

See Also

xyplot, levelplot, panel.identify to identify objects

Examples

library(lattice)
trellis.par.set(sp.theme()) # sets bpy.colors() ramp
data(meuse)
coordinates(meuse) <- ~x+y
l2 = list("SpatialPolygonsRescale", layout.north.arrow(), offset = c(181300,329800), 
	scale = 400)
l3 = list("SpatialPolygonsRescale", layout.scale.bar(), offset = c(180500,329800), 
	scale = 500, fill=c("transparent","black"))
l4 = list("sp.text", c(180500,329900), "0")
l5 = list("sp.text", c(181000,329900), "500 m")

spplot(meuse, c("ffreq"), sp.layout=list(l2,l3,l4,l5), col.regions= "black", 
	pch=c(1,2,3), key.space=list(x=0.1,y=.95,corner=c(0,1)))
spplot(meuse, c("zinc", "lead"), sp.layout=list(l2,l3,l4,l5, which = 2),
	key.space=list(x=0.1,y=.95,corner=c(0,1)))
# plotting factors:
meuse$f = factor(sample(letters[6:10], 155, replace=TRUE),levels=letters[1:10])
meuse$g = factor(sample(letters[1:5], 155, replace=TRUE),levels=letters[1:10])
spplot(meuse, c("f","g"), col.regions=bpy.colors(10))

if (require(RColorBrewer)) {
	spplot(meuse, c("ffreq"), sp.layout=list(l2,l3,l4,l5),
		col.regions=brewer.pal(3, "Set1"))
}

data(meuse.grid)
gridded(meuse.grid)=~x+y
meuse.grid$g = factor(sample(letters[1:5], 3103, replace=TRUE),levels=letters[1:10])
meuse.grid$f = factor(sample(letters[6:10], 3103, replace=TRUE),levels=letters[1:10])
spplot(meuse.grid, c("f","g"))
spplot(meuse.grid, c("f","g"), col.regions=bpy.colors(10))