stars (version 0.6-4)

plot: plot stars object, with subplots for each level of first non-spatial dimension

Description

plot stars object, with subplots for each level of first non-spatial dimension, and customization of legend key

Usage

# S3 method for stars
plot(
  x,
  y,
  ...,
  join_zlim = TRUE,
  main = make_label(x, 1),
  axes = FALSE,
  downsample = TRUE,
  nbreaks = 11,
  breaks = "quantile",
  col = grey(1:(nbreaks - 1)/nbreaks),
  key.pos = get_key_pos(x, ...),
  key.width = kw_dflt(x, key.pos),
  key.length = 0.618,
  key.lab = main,
  reset = TRUE,
  box_col = grey(0.8),
  center_time = FALSE,
  hook = NULL,
  mfrow = NULL,
  fill = FALSE
)

# S3 method for stars image( x, ..., band = 1, attr = 1, asp = NULL, rgb = NULL, maxColorValue = ifelse(inherits(rgb, "data.frame"), 255, max(x[[attr]], na.rm = TRUE)), xlab = if (!axes) "" else names(d)[1], ylab = if (!axes) "" else names(d)[2], xlim = st_bbox(extent)$xlim, ylim = st_bbox(extent)$ylim, text_values = FALSE, text_color = "black", axes = FALSE, interpolate = FALSE, as_points = FALSE, key.pos = NULL, logz = FALSE, key.width = kw_dflt(x, key.pos), key.length = 0.618, add.geom = NULL, border = NA, useRaster = isTRUE(dev.capabilities()$rasterImage == "yes"), extent = x )

# S3 method for nc_proxy plot(x, y, ..., downsample = get_downsample(dim(x)), max_times = 16)

# S3 method for stars_proxy plot(x, y, ..., downsample = get_downsample(dim(x)))

Arguments

x

object of class stars

y

ignored

...

further arguments: for plot, passed on to image.stars; for image, passed on to image.default or rasterImage.

join_zlim

logical; if TRUE, compute a single, joint zlim (color scale) for all subplots from x

main

character; subplot title prefix; use "" to get only time, use NULL to suppress subplot titles

axes

logical; should axes and box be added to the plot?

downsample

logical or numeric; if TRUE will try to plot not many more pixels than actually are visible, if FALSE, no downsampling takes place, if numeric, the number of pixels/lines/bands etc that will be skipped; see Details.

nbreaks

number of color breaks; should be one more than number of colors. If missing and col is specified, it is derived from that.

breaks

actual color breaks, or a method name used for classIntervals.

col

colors to use for grid cells, or color palette function

key.pos

numeric; side to plot a color key: 1 bottom, 2 left, 3 top, 4 right; set to NULL to omit key. Ignored if multiple columns are plotted in a single function call. Default depends on plot size, map aspect, and, if set, parameter asp. If it has lenght 2, the second value, ranging from 0 to 1, determines where the key is placed in the available space (default: 0.5, center).

key.width

amount of space reserved for width of the key (labels); relative or absolute (using lcm)

key.length

amount of space reserved for length of the key (labels); relative or absolute (using lcm)

key.lab

character; label for color key in case of multiple subplots, use "" to suppress

reset

logical; if FALSE, keep the plot in a mode that allows adding further map elements; if TRUE restore original mode after plotting

box_col

color for box around sub-plots; use 0 to suppress plotting of boxes around sub-plots.

center_time

logical; if TRUE, sub-plot titles will show the center of time intervals, otherwise their start

hook

NULL or function; hook function that will be called on every sub-plot; see examples.

mfrow

length-2 integer vector with nrows, ncolumns of a composite plot, to override the default layout

fill

logical; fill the plotting area at the lower or right-hand margin?

band

integer; which band (dimension) to plot

attr

integer; which attribute to plot

asp

numeric; aspect ratio of image

rgb

integer; specify three bands to form an rgb composite. Experimental: rgb color table; see Details.

maxColorValue

numeric; passed on to rgb

xlab

character; x axis label

ylab

character; y axis label

xlim

x axis limits

ylim

y axis limits

text_values

logical; print values as text on image?

text_color

character; color for printed text values

interpolate

logical; when using rasterImage (rgb), should pixels be interpolated?

as_points

logical; for curvilinear or sheared grids: parameter passed on to st_as_sf, determining whether raster cells will be plotted as symbols (fast, approximate) or small polygons (slow, exact)

logz

logical; if TRUE, use log10-scale for the attribute variable. In that case, breaks and at need to be given as log10-values; see examples.

add.geom

object of class sfc, or list with arguments to plot, that will be added to an image or sub-image

border

color used for cell borders (only in case x is a curvilinear or rotated/sheared grid)

useRaster

logical; use the rasterImage capabilities of the graphics device?

extent

object which has a st_bbox method; sets the plotting extent

max_times

integer; maximum number of time steps to attempt to plot.

Details

Downsampling: a value for downsample of 0: no downsampling, 1: after every dimension value (pixel/line/band), one value is skipped (half of the original resolution), 2: after every dimension value, 2 values are skipped (one third of the original resolution), etc. If downsample is TRUE or a length 1 numeric vector, downsampling is only applied to the raster [x] and [y] dimensions.

To remove unused classes in a categorical raster, use the droplevels function.

When bitmaps show visual artefacts (Moiré effects), make sure that device png is used rather than ragg::agg_png as the latter uses antialiasing for filled polygons which causes this; see also https://github.com/r-spatial/stars/issues/573 .

use of an rgb color table is experimental; see https://github.com/r-spatial/mapview/issues/208

when plotting a subsetted stars_proxy object, the default value for argument downsample will not be computed correctly, and has to be set manually.

when plotting a subsetted stars_proxy object, the default value for argument downsample will not be computed correctly, and has to be set manually.

Examples

Run this code
st_bbox(L7_ETMs) |> st_as_sfc() |> st_centroid() |> st_coordinates() -> pt
hook1 = function() {
    text(pt[,"X"], pt[,"Y"], "foo", col = 'orange', cex = 2)
}
plot(L7_ETMs, hook = hook1)
x = st_set_dimensions(L7_ETMs, 3, paste0("B_", 1:6))
hook2 = function(..., row, col, nr, nrow, ncol, value, bbox) {
   str = paste0("row ", row, "/", nrow, ", col ", col, "/", ncol, "\nnr: ", nr, " value: ", value)
   bbox |> st_as_sfc() |> st_centroid() |> st_coordinates() -> pt
   text(pt[,"X"], pt[,"Y"], str, col = 'red', cex = 2)
}
plot(x, hook = hook2, col = grey(c(.2,.25,.3,.35)))
if (isTRUE(dev.capabilities()$rasterImage == "yes")) {
  lc = read_stars(system.file("tif/lc.tif", package = "stars"))
  levels(lc[[1]]) = abbreviate(levels(lc[[1]]), 6) # so it's not only legend
  plot(lc, key.pos=4)
}
tif = system.file("tif/L7_ETMs.tif", package = "stars")
x = read_stars(tif)
image(x, col = grey((3:9)/10))
if (isTRUE(dev.capabilities()$rasterImage == "yes")) {
  image(x, rgb = c(1,3,5)) # false color composite
}

Run the code above in your browser using DataCamp Workspace