Add rerddap::tabledap data to a plotdap map — add

add_tabledap adds the data from an 'rerddap::tabledap()' call to a 'plotdap' map

add_tabledap(
  plot,
  table,
  var,
  color = c("#132B43", "#56B1F7"),
  size = 1.5,
  shape = 19,
  animate = FALSE,
  cumulative = FALSE,
  ...
)

Arguments

plot: a plotdap object.
table: a tabledap object.
var: a formula defining a variable, or function of variables to visualize.
color: either a character string of length 1 matching a name in cmocean or a vector of color codes. This defines the colorscale used to encode values of var.
size: the size of the symbol.
shape: the shape of the symbol. For valid options, see the 'pch' values section on points. plot(0:25, 0:25, pch = 0:25) also gives a quick visual of the majority of possibilities.
animate: whether to animate over the time variable (if it exists). Currently only implemented for method='ggplot2' and requires the gganimate package.
cumulative: - if animation should be cumulative -default FALSE
...: arguments passed along to geom_sf() (if method='ggplot2', otherwise ignored).

Value

A plotdap object

Examples


# base plotting tends to be faster,
# but is less extensible plotdap("base")

# test datasets in data folder to meet execution timings
# code given to extract the data

# \donttest{
sardines <- rerddap::tabledap(
 'FRDCPSTrawlLHHaulCatch',
 fields = c('latitude',  'longitude', 'time', 'scientific_name', 'subsample_count'),
  'time>=2010-01-01', 'time<=2012-01-01',
  'scientific_name="Sardinops sagax"'
  )
# }

p <- plotdap()
p1 <- add_tabledap(p, sardines, ~subsample_count)
p2 <- add_tabledap(p, sardines, ~log2(subsample_count))

# using base R plotting
p <- plotdap("base")
p <- add_tabledap(p, sardines, ~subsample_count)

# robinson projection
p <- plotdap(crs = "+proj=robin")
p <- add_tabledap(p, sardines, ~subsample_count)