Draw maps.

e_map(e, serie, map = "world", name = NULL, rm_x = TRUE, rm_y = TRUE, ...)

e_map_(
  e,
  serie = NULL,
  map = "world",
  name = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

e_svg(e, serie, map = "world", name = NULL, rm_x = TRUE, rm_y = TRUE, ...)

e_svg_(
  e,
  serie = NULL,
  map = "world",
  name = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

e_map_3d(
  e,
  serie,
  map = "world",
  name = NULL,
  coord_system = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

e_map_3d_(
  e,
  serie = NULL,
  map = "world",
  name = NULL,
  coord_system = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

e_map_3d_custom(
  e,
  id,
  value,
  height,
  map = NULL,
  name = NULL,
  rm_x = TRUE,
  rm_y = TRUE,
  ...
)

Arguments

e

An echarts4r object as returned by e_charts or a proxy as returned by echarts4rProxy.

serie

Values to plot.

map

Map type.

name

name of the serie.

rm_x, rm_y

Whether to remove x and y axis, defaults to TRUE.

...

Any other option to pass, check See Also section.

coord_system

Coordinate system to use, one of cartesian3D, geo3D, globe.

id, value, height

Columns corresponding to registered map.

See also

Examples

if (FALSE) { choropleth <- data.frame( countries = c( "France", "Brazil", "China", "Russia", "Canada", "India", "United States", "Argentina", "Australia" ), values = round(runif(9, 10, 25)) ) choropleth |> e_charts(countries) |> e_map(values) |> e_visual_map(min = 10, max = 25) choropleth |> e_charts(countries) |> e_map_3d(values, shading = "lambert") |> e_visual_map(min = 10, max = 30) # custom buildings <- jsonlite::read_json( paste0( "https://echarts.apache.org/examples/", "data-gl/asset/data/buildings.json" ) ) heights <- purrr::map(buildings$features, "properties") |> purrr::map("height") |> unlist() names <- purrr::map(buildings$features, "properties") |> purrr::map("name") |> unlist() data <- dplyr::tibble( name = names, value = round(runif(length(names), 0, 1), 6), height = heights / 10 ) data |> e_charts() |> e_map_register("buildings", buildings) |> e_map_3d_custom(name, value, height) |> e_visual_map( show = FALSE, min = 0.4, max = 1 ) # timeline choropleth <- data.frame( countries = rep(choropleth$countries, 3) ) |> dplyr::mutate( grp = c( rep(2016, nrow(choropleth)), rep(2017, nrow(choropleth)), rep(2018, nrow(choropleth)) ), values = runif(27, 1, 10) ) choropleth |> group_by(grp) |> e_charts(countries, timeline = TRUE) |> e_map(values) |> e_visual_map(min = 1, max = 10) choropleth |> group_by(grp) |> e_charts(countries, timeline = TRUE) |> e_map_3d(values) |> e_visual_map(min = 1, max = 10) }