plot.wDist {assignR}

Plot weighted distance and bearing distributions

Description

Plot the output from wDist, including weighted kernel density distributions for distance and bearing of travel.

Usage

## S3 method for class 'wDist'
plot(x, ..., bin = 20, pty = "both", index = c(1:5))

Arguments

x

A wDist object

...

Other arguments to be passed to plot

bin

numeric. Bin width used to generate rose plot of travel bearings, in degrees. Must be a factor of 360.

pty

character. Type of plot to produce. Must be one of “dist”, “bear”, or “both”.

index

numeric. Which items in x to plot? Numeric vector of up to 5 integers. Values in excess of 5 or exceeding the length of x will be ignored.

Details

For the default pty, two plot panels will be printed to the active graphical device showing the distance and bearing distributions for (up to) the first five samples in wd. If more than five items exist in wd, those beyond the fifth will be ignored and a message returned.

See Also

wDist

Examples

# load hydrogen isotope data for human hair in North America
d = subOrigData(group = "Modern human", mask = naMap, niter = 100)

# rescale from environmental isoscape to tissue isoscape
r = calRaster(known = d, isoscape = d2h_lrNA, mask = naMap)

# four unknown-origin examples
id = c("A", "B", "C", "D")
d2H = c(-110, -90, -105, -102)
un = data.frame(id,d2H)

# posterior probabilities
pp = pdRaster(r, unknown = un, mask = naMap)

# random collection locations
sites = d$data[sample(seq(length(d$data)), 4),]

# generate a wDist object
wd = wDist(pp, sites)

# plot distributions
plot(wd)

# plot bearing distriubtion for sample B with a finer bin size
plot(wd, bin = 5, pty = "bear", index = 2)