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, col.regions = get_col_regions())
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, ], col.regions = get_col_regions())
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),
 edge.col = "transparent", colorkey = FALSE, col.regions = get_col_regions())
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", ...)
set_col_regions(value)
get_col_regions()

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 (points) is used; for further control custom panel functions can be supplied that call one of these panel functions, but do read below how the argument sp.layout may help

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 on panel i,j, pass the value c(i,j)

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

edge.col

color of symbol edge

colorkey

if FALSE, use symbol key; if TRUE, use continuous, levelplot-like colorkey; if list, follow syntax of argument colorkey in levelplot (see below for an example)

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

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.

col.regions

vector with fill colours; in case the variable to be plotted is a factor, this vector should have length equal to the number of factor levels

value

vector with color values, default for col.regions

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.

get_col_regions returns the default value for col.regions

Methods

obj = "SpatialPixelsDataFrame": see spplot
obj = "SpatialGridDataFrame": see spplot
obj = "SpatialPolygonsDataFrame": see spplot
obj = "SpatialLinesDataFrame": see spplot
obj = "SpatialPointsDataFrame": see spplot

References

https://edzer.github.io/sp/

Examples

Run this code

# NOT RUN {
library(lattice)
trellis.par.set(sp.theme()) # sets bpy.colors() ramp
demo(meuse, ask = FALSE, echo = FALSE)
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"))
}

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"), col.regions=bpy.colors(10))

# example modifying colorkey for points:
spplot(meuse["dist"], colorkey = list(
	right = list( # see ?levelplot in package trellis, argument colorkey:
		fun = draw.colorkey, 
		args = list(
			key = list(
				at = seq(0, 1, .1), # colour breaks
				col = bpy.colors(11), # colours
				labels = list(
					at = c(0, .2, .4, .6, .8, 1), 
					labels = c("0x", "20x", "40x", "60x", "80x", "100x")
				)
			)
		)
	)
))
l6 = list(meuse.grid["dist"], col = grey(seq(.5,.9,length.out=10)))
spplot(meuse, c("zinc", "lead"), sp.layout = l6)
spplot(meuse, c("zinc", "lead"), 
	sp.layout = list(meuse.grid, meuse.riv, col = 'grey'))

#  Custom legend placement, taken from 
# http://stackoverflow.com/questions/29344692/custom-placement-of-spplot-legend-in-the-map
s <- spplot(meuse.grid[,'dist'], colorkey = list(space = "left", height = 0.4))

args <- s$legend$left$args$key

## Prepare list of arguments needed by `legend=` argument (as described in ?xyplot)
library(lattice) # draw.colorkey
legendArgs <- list(fun = draw.colorkey,
                   args = list(key = args),
                   corner = c(0.05,.75))

## Call spplot() again, this time passing in to legend the arguments
## needed to print a color key
spplot(meuse.grid[,'dist'], colorkey = FALSE,
       legend = list(inside = legendArgs))
# }

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