View source: R/occCite_plotting.R
occCiteMap | R Documentation |
Makes maps for each individual species in an
occCiteData
object.
occCiteMap(
occCiteData,
species_map = "all",
species_colors = NULL,
ds_map = c("GBIF", "BIEN"),
map_limit = 1000,
awesomeMarkers = TRUE,
cluster = FALSE
)
occCiteData |
An object of class |
species_map |
Character; either the default "all" to map all species
in |
species_colors |
Character; the default NULL will choose random colors from those available (see Details), or those specified by the user as a character or character vector (the number of colors must match the number of species mapped). |
ds_map |
Character; specifies which data service records will be mapped, with the default being GBIF, BIEN, and GBIF_BIEN (records with the same coordinates in both databases). |
map_limit |
Numeric; the number of points to map per species, set at a default of 1000 randomly selected records; users can specify a higher number, but be aware that leaflet can lag or crash when too many points are plotted. |
awesomeMarkers |
Logical; if 'TRUE' (default), mapped points will be 'awesomeMarkers' attributed with an icon for a globe for GBIF, a leaf for BIEN, or a database if records from both databases have the same coordinates; if 'FALSE', mapped points will be leaflet 'circleMarkers' |
cluster |
Logical; if 'TRUE' (default is 'FALSE') turns on marker clustering, which does not preserve color differences between species |
When mapping using 'awesomeMarkers' (default), the parameter species_colors must match those in a specified color library, currently: c("red", "lightred", "orange", "beige", "green", "lightgreen", "blue", "lightblue", "purple", "pink", "cadetblue", "white", "gray", "lightgray"). When 'awesomeMarkers' is 'FALSE' and species_colors are not specified, random colors from the 'RColorBrewer' Set1 palette are used.
A leaflet map
## Not run:
data(myOccCiteObject)
occCiteMap(myOccCiteObject, cluster = FALSE)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.