sample_map: Plot the sampling map
In pcutils: Some Useful Functions for Statistics and Visualization

sample_map

R Documentation

Plot the sampling map

Description

Plot the sampling map

Usage

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


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))
}

pcutils documentation built on June 26, 2024, 1:06 a.m.