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Add salinity data points to a leaflet map

Source: R/add_salinity_points.R
add_salinity_points.Rd

Adds circle markers to a leaflet map representing salinity measurements, with popups showing the salinity value and site information.

Usage

add_salinity_points(
  map,
  data,
  palette = "YlGnBu",
  domain = c(0, 40),
  color_function = NULL
)

Arguments

map

A leaflet map object

data

A data frame containing salinity data for a single date, generally created by joining the $daily and $siteInfo components of output from the get_mssnd_data() function, then filtered to a single date. Must include the following columns:

  • dec_lon_va: Decimal longitude of station

  • dec_lat_va: Decimal latitude of station

  • sal_mean: Daily mean salinity in parts per thousand (ppt)

  • clean_nm: Station name

  • site_no: USGS site number

palette

Character string specifying the color palette name (default: "YlGnBu")

domain

Numeric vector of length 2 specifying the domain range for colors (default: c(0, 40))

color_function

Optional pre-created color function (overrides palette and domain if provided)

Value

A leaflet map object with added circle markers

Examples


# generate salinity data to map
to_map <- dplyr::left_join(mssnd_salinity$daily, mssnd_salinity$siteInfo) |>
    dplyr::filter(date == as.Date("2023-06-01"))
#> Joining with `by = join_by(site_no)`

# create base map
my_map <- create_mssnd_basemap()

# Add points, using default color palette
my_map  |>
    add_salinity_points(to_map)



# Add points and legend, using default color palette
my_map  |>
    add_salinity_points(to_map) |>
    add_salinity_legend()



# Add points and legend, using non-default existing palette
my_map  |>
    add_salinity_points(to_map, palette = "Spectral") |>
    add_salinity_legend(palette = "Spectral")



# Add points and legend, using custom domain
my_map  |>
    add_salinity_points(to_map, domain = c(5, 35)) |>
    add_salinity_legend(domain = c(5, 35))
#> Warning: Some values were outside the color scale and will be treated as NA
#> Warning: Some values were outside the color scale and will be treated as NA