contourPlot: Plot a contour map

In contourPlot: Plots x,y,z Co-Ordinates in a Contour Map

Description

Takes x,y,z co-ordinates and plots them on a contour map. Smoothing and interpolation is done by means of fitting a spline to the data.

Usage

contourPlot(
  x,
  y,
  z,
  nx = length(unique(x)),
  main = NULL,
  axis = TRUE,
  legend = TRUE,
  xlab = "",
  ylab = "",
  col = NULL,
  breaks = NULL,
  nlevels = 10,
  legend_pos = 4
)

Arguments

x	a vector of x co-ordinates
y	a vector of y co-ordinates
z	a vector of z co-ordinates representing the height of the contours
nx	The number of pixels that will be in final plot. default is length(unique(x))
main	Title of plot
axis	logical if TRUE displays the axes of the plot
legend	logical if TRUE displays the legend
xlab	label on x axis
ylab	label on y axis
col	list of colors to be applied to contours.
breaks	list of values indicating the contour ranges
nlevels	useful if breaks and col are left as null. Sets the number of levels of the contours to be plotted
legend_pos	set position of the colour bar. Default = 4.

Value

A contour plot (similar to those in base, additional elements can be added using lines, points functions etc.

Examples

x <- Volcontour$x
y <- Volcontour$y
z <- Volcontour$z

contourPlot(x = x, y = y, z = z)

# A smoother contour
contourPlot(x = x, y = y, z = z, nx = 500)

# Changing breaks and colours
breaks = pretty(c(min(z),max(z)))
col = brewer.pal(n = length(breaks)-1, "Blues")
contourPlot(x = x, y = y, z = z, nx = 500, breaks = breaks, col = col)

# add lines
lines(circle(0, 0, 26.5))

contourPlot documentation built on Oct. 31, 2020, 1:06 a.m.