scale_colour_binned colour palette in ggplot

I am plotting a map using ggplot and ggOceanMaps packages. To have binned colours in function of the date, I used the function scale_colour_binned().

library(ggOceanMaps)
library(tidyverse)
library(lubridate)

df_map <- df_map %>%
  mutate(date_numeric = as.numeric(date))

basemap(data = df_map, limits = c(min(df_map$Lon) - 0.5,max(df_map$Lon) + 0.5,min(df_map$Lat) - 0.5,max(df_map$Lat) + 0.5), bathymetry = TRUE,
        # bathy.style = "rcb" proper raster
) + # a synonym: basemap(dt)
  ggspatial::geom_spatial_point(data = df_map, aes(x = Lon, y = Lat, color = date_numeric), size = 2) + 
  # scale_colour_distiller(labels = \(x) as.POSIXct(x, origin = lubridate::origin) |>
  #                          format(format ="%b %d"), n.breaks = length(unique(df_map$station))/2, palette = "Spectral")
  scale_colour_binned(type = "magma", name="Date",
                      breaks = seq(min(df_map$date_numeric), max(df_map$date_numeric), length.out = length(unique(df_map$date_numeric))),
                      labels = \(x) as.POSIXct(x, origin = lubridate::origin) |>
                        format(format = "%b %d"))

Unfortunately, when I try to change the type = "viridis" for a different colour palette (e.g. magma), I receive an error telling me the scale type "magma" is unknown, and only "vidris" or "gradient" are available. Is there a way to have more palettes available for the scale_colour_binned() function?

Here is an example of data :

df_map = structure(list(Lat = c(78.6585508333333, 78.6585508333333, 78.6585508333333,
78.6585508333333, 78.6585508333333, 78.6585508333333, 78.6585508333333,
78.6585508333333, 78.7585508333333, 78.7585508333333, 78.7585508333333,
79.6585508333333, 79.6585508333333, 79.6585508333333, 79.6585508333333,
79.7585508333333, 79.7585508333333, 79.7585508333333, 80.6585508333333,
80.6585508333333, 75.0000000000000, 75.1000000000000, 73.9994955166667, 73.9994955166667, 73.9994955166667,
73.9994955166667, 73.9994955166667), Lon = c(24.6500727416667, 24.6500727416667,
24.6500727416667, 24.6500727416667, 24.6500727416667, 24.6500727416667,
24.6500727416667, 24.6500727416667, 24.6500727416667, 24.6500727416667,
24.6500727416667, 24.6500727416667, 24.6500727416667, 24.6500727416667,
23.6500727416667, 23.6500727416667, 23.6500727416667, 25.7500727416667,
25.7500727416667, 25.7500727416667, 30.9864643333333, 30.8874643333333, 35.9974643333333,
35.9974643333333, 35.9974643333333, 35.9974643333333, 35.9974643333333), date = structure(c(1690042620,
1690042620, 1690042620, 1690042620, 1690042620, 1690042620, 1690042620,
1690042620, 1690042620, 1690042620, 1690192620, 1690192620, 1690192620,
1690192620, 1690192620, 1690392620, 1690392620, 1690542620, 1690542620,
1690542620, 1691056620, 1691056620, 1691686620, 1691686620, 1691686620, 1691686620,
1691686620), class = c("POSIXct", "POSIXt"), tzone = "UTC")), row.names = c(NA,
27L), class = "data.frame")

scale_colour_binned() in ggplot2 only accepts two values for its type argument: "gradient" and "viridis". If you want to use the magma palette (or any of the other viridis family) in a binned color scale, you should use scale_colour_viridis_b(). This function is designed to work with binned scales using the viridis palette and allows you to specify the palette via the option argument.

basemap(data = df_map,
        limits = c(min(df_map$Lon) - 0.5, max(df_map$Lon) + 0.5,
                   min(df_map$Lat) - 0.5, max(df_map$Lat) + 0.5),
        bathymetry = TRUE) +
  ggspatial::geom_spatial_point(data = df_map, aes(x = Lon, y = Lat, color = date_numeric), size = 2) +
  scale_colour_viridis_b(option = "magma", name = "Date",
                         breaks = seq(min(df_map$date_numeric),
                                      max(df_map$date_numeric),
                                      length.out = length(unique(df_map$date_numeric))),
                         labels = function(x) {
                           as.POSIXct(x, origin = lubridate::origin) |>
                             format("%b %d")
                         })