Plot the sampling map

sample_map(
  metadata,
  mode = 1,
  map_params = list(),
  group = NULL,
  point_params = list(),
  label = NULL,
  label_params = list(),
  leaflet_pal = NULL,
  shp_file = NULL,
  crs = 4326,
  xlim = NULL,
  ylim = NULL,
  add_scale = TRUE,
  scale_params = list(),
  add_north_arrow = TRUE,
  north_arrow_params = list()
)

Arguments

metadata: metadata must contains "Longitude","Latitude"
mode: 1~3. 1 use basic data from ggplot2. 2 use a shp_file. 3 use the leaflet.
map_params: parameters parse to geom_polygon (mode=1) or geom_sf (mode=2)
group: one column name of metadata which mapping to point color
point_params: parameters parse to geom_point
label: one column name of metadata which mapping to point label
label_params: parameters parse to geom_sf_text
leaflet_pal: leaflet color palette
shp_file: a geojson file parse to sf::read_sf
crs: crs coordinate: https://asa-blog.netlify.app/p/r-map/#crs
xlim: xlim
ylim: ylim
add_scale: add annotation_scale
scale_params: parameters parse to ggspatial::annotation_scale
add_north_arrow: add annotation_north_arrow
north_arrow_params: parameters parse to ggspatial::annotation_north_arrow

Value

map

Examples

# \donttest{
data(otutab)
anno_df <- metadata[, c("Id", "long", "lat", "Group")]
colnames(anno_df) <- c("Id", "Longitude", "Latitude", "Group")
if (requireNamespace("ggspatial")) {
  sample_map(anno_df, mode = 1, group = "Group", xlim = c(90, 135), ylim = c(20, 50))
}
#> Loading required namespace: ggspatial
# }