Plot observations coloured by a matched covariate

What matchData() produced, seen rather than summarised. Points that came back NA are drawn as open circles rather than dropped, since a cluster of them is usually the real finding — observations outside the environmental data's extent or in a period it does not cover.

Usage

plot_matched(matched, var = NULL, palette = "viridis", main = NULL, ...)

Arguments

matched: an sf object from matchData()
var: which matched variable to colour by; NULL uses the first covariate
palette: a grDevices::hcl.colors() palette name
main: plot title
...: passed to graphics::plot()

Value

the plotted values, invisibly

Subset to one period first

The colour scale spans every observation passed in, so plotting several months of a seasonal variable at once mixes the seasons together and the map reads as noise: a warm February inshore point and a cool August offshore one can take the same colour. Subset to a period before plotting, and the spatial pattern reappears:

plot_matched(matched[matched$MONTH == 7, ], "SST")

Examples

if (FALSE) { # \dontrun{
matched <- matchData(observations, env)

plot_matched(matched, "SST")
# Open circles are observations that matched nothing.
} # }