contourPlot2 | R Documentation |
contourPlot2
plots a contour map of a given quantity, such as the
ground concentration of an airborne pollutant or odour, defined on a
regular grid.
contourPlot2(
data,
x = "x",
y = "y",
z = "z",
domain = NULL,
background = NULL,
underlayer = NULL,
overlayer = NULL,
legend = NULL,
levels = NULL,
size = 0,
fill = TRUE,
tile = FALSE,
transparency = 0.75,
colors = NULL,
bare = FALSE
)
data |
dataframe in long format, with three columns for Easting, Northing and values to be plotted. |
x |
name of the column with Easting data (default "x"). |
y |
name of the column with Northing data (default "y"). |
z |
name of the column with the values to be plotted (default "z"). |
domain |
optional list with six numeric values defining the boundaries of the domain to be plotted: minimum X, maximum X, minimum Y, maximum Y, number of ticks on X axis, number of ticks on Y axis. |
background |
optional path to a png file to be plotted as the base map. |
underlayer |
optional list of layers to be plotted between base map and contour plot. |
overlayer |
optional list of layers to be plotted on top of the contour plot. |
legend |
optional title of the legend. |
levels |
numeric vector of levels for contour plot. If not set,
automatic pretty levels are computed. If |
size |
thickness of the contour line. |
fill |
boolean (default TRUE). If TRUE the contour plot is filled with colour. |
tile |
boolean (default FALSE). If TRUE rectangular tiles are plotted. |
transparency |
transparency level of the contour plot between 0.0 (fully transparent) and 1.0 (fully opaque). Default = 0.75). |
colors |
colour palette for contour plot, as an array of colours. |
bare |
boolean (default FALSE). If TRUE only the bare plot is shown: axis, legend, titles and any other graphical element of the plot are removed. |
This is a convenience function to plot contour levels of a scalar quantity
such as pollutants computed by a dispersion model, with ggplot2
version >= 3.3.0.
Data are required to be on a regular grid, typically (but not necessarily)
in UTM coordinates. The input dataframe has to be in long format, i.e. one
line per value to be plotted. The names of the columns corresponding to x
,
y
and z
can be specified in the input parameters.
If tile = TRUE
data are shown as they are, without any graphical
interpolation required for contour plots. This is helpful when you want to
visualise the raw data.
Since version 2.4.0, when tile = TRUE
the intervals include the lowest
bound and exclude the highest bound: [min, max)
. Note: In previous version
it was the opposite.
underlayer
and overlayer
layers are ggplot2
objects to be shown at
different levels of the vertical stack of the plot. These are useful to
show topographical information related to the plot, such as sources
or receptors locations.
A ggplot2
object.
# Load example data in long format
data(volcano)
volcano3d <- reshape2::melt(volcano)
names(volcano3d) <- c("x", "y", "z")
# Contour plot with default options
v <- contourPlot2(volcano3d)
v
# Set levels, and properly format the legend title:
contourPlot2(volcano3d,
levels = c(-Inf, seq(100, 200, 20), Inf),
legend = expression(PM[10]~"["~mu*g~m^-3~"]"))
# Sometimes, instead of a contour plot it is better to plot the original
# raster data, without any interpolation:
contourPlot2(volcano3d,
levels = c(-Inf, seq(100, 200, 20), Inf),
tile = TRUE)
# Since contourPlot2 returns a `ggplot2` object, you can add instructions as:
library(ggplot2)
v + ggtitle("Example volcano data") +
labs(x = NULL, y = NULL)
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