Computes isolines from a griddap data frame and appends them as a
geom_sf() layer to the plotdap object's internal ggplot.
Call this before add_ggplot() or print().
add_griddap_contours(
p,
data,
var,
n_breaks = 10L,
breaks = NULL,
lon_col = "longitude",
lat_col = "latitude",
color = "black",
linewidth = 0.3,
alpha = 1,
crs = 4326L
)a plotdap object (result of plotdap() piped through
add_griddap()). Not the result of
add_ggplot().
data frame typically dat$data from a
griddap() call.
character; name of the variable column to contour.
integer; number of evenly-spaced interior contour levels
(ignored when breaks is supplied). Default 10.
numeric vector of explicit contour levels, or NULL.
name of longitude column (default "longitude").
name of latitude column (default "latitude").
contour line color (default "black").
contour line width (default 0.3).
opacity 01 (default 1).
integer EPSG code for the data (default 4326).
the plotdap object with contour lines added to its internal ggplot.
Pipe the result to add_ggplot() or print() as usual.
if (FALSE) { # \dontrun{
library(rerddap)
library(plotdap)
myURL <- "https://coastwatch.pfeg.noaa.gov/erddap/"
info <- rerddap::info("jplMURSST41", url = myURL)
dat <- griddap(info,
latitude = c(30, 50),
longitude = c(-140, -110),
time = c("2020-06-15", "2020-06-15"),
fields = "analysed_sst")
p <- plotdap() |>
add_griddap(dat, ~analysed_sst)
## Default: 10 evenly-spaced contour levels, then render
p |> add_griddap_contours(dat$data, "analysed_sst") |> add_ggplot()
## Explicit break values
p |> add_griddap_contours(dat$data, "analysed_sst",
breaks = c(10, 12, 14, 16, 18, 20)) |> add_ggplot()
## More levels, thinner grey lines
p |> add_griddap_contours(dat$data, "analysed_sst",
n_breaks = 20, color = "grey40", linewidth = 0.2) |>
add_ggplot()
} # }