sf (version 0.5-2)

plot: Plot sf object

Description

Plot sf object

blue-pink-yellow color scale

Usage

# S3 method for sf
plot(x, y, ..., ncol = 10, col = NULL, max.plot = 9)

# S3 method for sfc_POINT plot(x, y, ..., pch = 1, cex = 1, col = 1, bg = 0, lwd = 1, lty = 1, type = "p", add = FALSE)

# S3 method for sfc_MULTIPOINT plot(x, y, ..., pch = 1, cex = 1, col = 1, bg = 0, lwd = 1, lty = 1, type = "p", add = FALSE)

# S3 method for sfc_LINESTRING plot(x, y, ..., lty = 1, lwd = 1, col = 1, pch = 1, type = "l", add = FALSE)

# S3 method for sfc_MULTILINESTRING plot(x, y, ..., lty = 1, lwd = 1, col = 1, pch = 1, type = "l", add = FALSE)

# S3 method for sfc_POLYGON plot(x, y, ..., lty = 1, lwd = 1, col = NA, cex = 1, pch = NA, border = 1, add = FALSE, rule = "winding")

# S3 method for sfc_MULTIPOLYGON plot(x, y, ..., lty = 1, lwd = 1, col = NA, border = 1, add = FALSE, rule = "winding")

# S3 method for sfc_GEOMETRYCOLLECTION plot(x, y, ..., pch = 1, cex = 1, bg = 0, lty = 1, lwd = 1, col = 1, border = 1, add = FALSE)

# S3 method for sfc_GEOMETRY plot(x, y, ..., pch = 1, cex = 1, bg = 0, lty = 1, lwd = 1, col = 1, border = 1, add = FALSE)

# S3 method for sfg plot(x, ...)

plot_sf(x, xlim = NULL, ylim = NULL, asp = NA, axes = FALSE, bgc = par("bg"), ..., xaxs, yaxs, lab, setParUsrBB = FALSE, bgMap = NULL, expandBB = c(0, 0, 0, 0), graticule = NA_crs_, col_graticule = "grey")

sf.colors(n = 10, xc, cutoff.tails = c(0.35, 0.2), alpha = 1, categorical = FALSE)

Arguments

x

object of class sf

y

ignored

...

further specifications, see plot_sf and plot

ncol

integer; default number of colors to be used

col

color

max.plot

integer; lower boundary to maximium number of attributes to plot (defaults to 9)

pch

plotting symbol

cex

symbol size

bg

symbol background color

lwd

line width

lty

line type

type

plot type: 'p' for points, 'l' for lines, 'b' for both

add

logical; add to current plot?

border

color of polygon border

rule
xlim
ylim
asp

see below, and see par

axes

logical; should axes be plotted? (default FALSE)

bgc

background color

xaxs

see par

yaxs

see par

lab

see par

setParUsrBB

default FALSE; set the par “usr” bounding box; see below

bgMap

object of class ggmap, or returned by function RgoogleMaps::GetMap

expandBB

numeric; fractional values to expand the bounding box with, in each direction (bottom, left, top, right)

graticule

logical, or object of class crs (e.g., st_crs(4326) for a WGS84 graticule), or object created by st_graticule; TRUE will give the WGS84 graticule or object returned by st_graticule

col_graticule

color to used for the graticule (if present)

n

integer; number of colors

xc

factor or numeric vector, for which colors need to be returned

cutoff.tails

numeric, in [0,0.5] start and end values

alpha

numeric, in [0,1], transparency

categorical

logical; should a categorical color ramp be returned? if x is a factor, yes.

Details

plot.sf maximally plots max.plot maps with colors following from attribute columns, one map per attribute. It uses sf.colors for default colors. For more control over individual maps, set parameter mfrow with par prior to plotting, and plot single maps one by one.

plot.sfc plots the geometry, additional parameters can be passed on to control color, lines or symbols.

plot_sf sets up the plotting area, axes, graticule, or webmap background; it is called by all plot methods before anything is drawn.

The argument setParUsrBB may be used to pass the logical value TRUE to functions within plot.Spatial. When set to TRUE, par(“usr”) will be overwritten with c(xlim, ylim), which defaults to the bounding box of the spatial object. This is only needed in the particular context of graphic output to a specified device with given width and height, to be matched to the spatial object, when using par(“xaxs”) and par(“yaxs”) in addition to par(mar=c(0,0,0,0)).

The default aspect for map plots is 1; if however data are not projected (coordinates are long/lat), the aspect is by default set to 1/cos(My * pi)/180) with My the y coordinate of the middle of the map (the mean of ylim, which defaults to the y range of bounding box). This implies an Equirectangular projection.

sf.colors was taken from bpy.colors, with modified cutoff.tails defaults; for categorical, colors were taken from http://www.colorbrewer2.org/ (if n < 9, Set2, else Set3).

Examples

Run this code
# NOT RUN {
# plot linestrings:
l1 = st_linestring(matrix(runif(6)-0.5,,2))
l2 = st_linestring(matrix(runif(6)-0.5,,2))
l3 = st_linestring(matrix(runif(6)-0.5,,2))
s = st_sf(a=2:4, b=st_sfc(l1,l2,l3))
plot(s, col = s$a, axes = FALSE)
plot(s, col = s$a)
ll = "+init=epsg:4326 +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
st_crs(s) = ll
plot(s, col = s$a, axes = TRUE)
plot(s, col = s$a, lty = s$a, lwd = s$a, pch = s$a, type = 'b')
l4 = st_linestring(matrix(runif(6),,2))
plot(st_sf(a=1,b=st_sfc(l4)), add = TRUE)
# plot multilinestrings:
ml1 = st_multilinestring(list(l1, l2))
ml2 = st_multilinestring(list(l3, l4))
ml = st_sf(a = 2:3, b = st_sfc(ml1, ml2))
plot(ml, col = ml$a, lty = ml$a, lwd = ml$a, pch = ml$a, type = 'b')
# plot points:
p1 = st_point(c(1,2))
p2 = st_point(c(3,3))
p3 = st_point(c(3,0))
p = st_sf(a=2:4, b=st_sfc(p1,p2,p3))
plot(p, col = s$a, axes = TRUE)
plot(p, col = s$a)
plot(p, col = p$a, pch = p$a, cex = p$a, bg = s$a, lwd = 2, lty = 2, type = 'b')
p4 = st_point(c(2,2))
plot(st_sf(a=1, st_sfc(p4)), add = TRUE)
# multipoints:
mp1 = st_multipoint(matrix(1:4,2))
mp2 = st_multipoint(matrix(5:8,2))
mp = st_sf(a = 2:3, b = st_sfc(mp1, mp2))
plot(mp)
plot(mp, col = mp$a, pch = mp$a, cex = mp$a, bg = mp$a, lwd = mp$a, lty = mp$a, type = 'b')
# polygon:
outer = matrix(c(0,0,10,0,10,10,0,10,0,0),ncol=2, byrow=TRUE)
hole1 = matrix(c(1,1,1,2,2,2,2,1,1,1),ncol=2, byrow=TRUE)
hole2 = matrix(c(5,5,5,6,6,6,6,5,5,5),ncol=2, byrow=TRUE)
pl1 = st_polygon(list(outer, hole1, hole2))
pl2 = st_polygon(list(outer+10, hole1+10, hole2+10))
po = st_sf(a = 2:3, st_sfc(pl1,pl2))
plot(po, col = po$a, border = rev(po$a), lwd=3)
# multipolygon
r10 = matrix(rep(c(0,10),each=5),5)
pl1 = list(outer, hole1, hole2)
pl2 = list(outer+10, hole1+10, hole2+10)
pl3 = list(outer+r10, hole1+r10, hole2+r10)
mpo1 = st_multipolygon(list(pl1,pl2))
mpo2 = st_multipolygon(list(pl3))
mpo = st_sf(a=2:3, b=st_sfc(mpo1,mpo2))
plot(mpo, col = mpo$a, border = rev(mpo$a), lwd = 2)
# geometrycollection:
gc1 = st_geometrycollection(list(mpo1, st_point(c(21,21)), l1 * 2 + 21))
gc2 = st_geometrycollection(list(mpo2, l2 - 2, l3 - 2, st_point(c(-1,-1))))
gc = st_sf(a=2:3, b = st_sfc(gc1,gc2))
plot(gc, cex = gc$a, col = gc$a, border = rev(gc$a) + 2, lwd = 2)
sf.colors(10)
# }

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