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
|
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.
|
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
Note
Missing values in the attributes are (currently) not allowed.
spplot.grid
, spplot.polygons
and spplot.points
are S4
methods for spplot
; see spplot-methods.
Useful arguments that can be passed as ...
are:
layout
-
integer; for the layout of panels (cols,rows)
pretty
-
logical; choose colour breaks at pretty numbers?
at
-
specify at which values colours change
as.table
-
logical; start drawing panels upper-left instead
of lower-left
page
-
to add marks to each plotted page
for useful values see the appropriate documentation of xyplot
(in case of points), and levelplot (otherwise).
If obj
is of SpatialPointsDataFrame, the following options are
useful to pass:
key.space
-
character: "bottom", "right", "left" or "right" to denote
key location, or list: see argument key in the help for xyplot what
the options are
legendEntries
-
character; array with key legend (text) entries;
suitable defaults obtained from data
cuts
-
number of cuts, or, for objects of class SpatialPointsDataFrame only, the actual cuts to use
do.log
-
logical; if TRUE use log-linear scale to divide range in equal cuts,
else use a linear scale if cuts
is only number of cuts
pch
-
integer; plotting character to use; defaults to 16 if fill is TRUE, else 1
cex
-
numeric; character expansion, proportional to default value of 1
fill
-
logical; use filled circles?
layout.north.arrow
and layout.scale.bar
can be used
to set a north arrow or scale bar.
The sp.layout
argument is either a single layout item, or a list
with one or more layout items. A layout item is one of
-
a list with one or more Spatial*
objects, along with
style arguments like col
, lty
, pch
, fill
etc.
-
a list with its first argument the layout function or
the name of the layout function to be called: sp.points
for
SpatialPoints, sp.polygons
for SpatialPolygons object, sp.lines
for a SpatialLines object, and sp.text
for text to place. The
second argument contains the object (or text) to be plotted; remaining
arguments are passed to the corresponding panel.*
functions.
The order of items in sp.layout
matters; objects are drawn in the
order they appear. With respect to obj
, default plot order and
precedence of sp.layout
items is as follows: for points and
lines, sp.layout
items are drawn over (after) obj
; for
grids and polygons, sp.layout
items are drawn behind (before)
obj
. Transparency may further help making multiple things
visible. Adding a first
argument to a layout item overrides its
default plotting order with respect to obj
:
Special control elements of sp.layout
items:
first
-
logical; should the layout item be drawn before
the obj
(TRUE), or after (FALSE)? This overrides
the default order (points and lines in front, polygons and grids behind).
which
-
integer; controls to which panel a layout
item should be added. If which
is present in the main,
top-level list it applies to all layout items; in sub-lists with
layout items it denotes the (set of) panel(s) in which the layout
item should be drawn. Without a which
item, layout items
are drawn in each panel.
sp.theme
returns a lattice theme; use, after loading package
lattice
, the command trellis.par.set(sp.theme())
after a device is opened or changed to make this work. Currently, this only
sets the colors to bpy.colors.
If the attributes to be plotted are of type factor, spplot tries
to create a legend that reflects this. In this case, the color ramp
passed needs to be of the same length as the number of factor levels.
The factor levels are derived from the first map; subsequent factors
with different factor levels result in an error.
Author(s)
Edzer Pebesma, [email protected]
References
https://edzer.github.io/sp/
See Also
xyplot, levelplot,
panel.identify to identify objects
Examples
library(lattice)
trellis.par.set(sp.theme())
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)))
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))
spplot(meuse["dist"], colorkey = list(
right = list(
fun = draw.colorkey,
args = list(
key = list(
at = seq(0, 1, .1),
col = bpy.colors(11),
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'))
s <- spplot(meuse.grid[,'dist'], colorkey = list(space = "left", height = 0.4))
args <- s$legend$left$args$key
library(lattice)
legendArgs <- list(fun = draw.colorkey,
args = list(key = args),
corner = c(0.05,.75))
spplot(meuse.grid[,'dist'], colorkey = FALSE,
legend = list(inside = legendArgs))