map_xc creates maps to visualize the geographic spread of 'Xeno-Canto'
recordings. DEPRECATED.
Usage
map_xc(
X,
img = TRUE,
it = "jpeg",
res = 100,
labels = FALSE,
path = NULL,
leaflet.map = FALSE,
leaflet.cluster = FALSE
)Arguments
- X
Data frame output from
query_xc.- img
A logical argument specifying whether an image file of each species map should be returned, default is
TRUE.- it
A character vector of length 1 giving the image type to be used. Currently only "tiff" and "jpeg" are admitted. Default is "jpeg".
- res
Numeric argument of length 1. Controls image resolution. Default is 100 (faster) although 300 - 400 is recommended for publication/ presentation quality.
- labels
A logical argument defining whether dots depicting recording locations are labeled. If
TRUEthen the Recording_ID is used as label.- path
Character string with the directory path where the image files will be saved. If
NULL(default) then the current working directory is used. Ignored ifimg = FALSE.- leaflet.map
Logical to control whether the package 'leaflet' is used for displaying the maps. 'leaflet' maps are interactive and display information about recordings and links to the Xeno-Canto website. If
TRUEa single map is displayed regardless of the number of species and all other image related arguments are ignored. Default isFALSE. The hovering label shows the species scientific name (or the subspecies if only 1 species is present in 'X'). Note that colors will be recycled if more after 18 species (or subspecies).- leaflet.cluster
Logical to control if icons are clustered by locality (as in Xeno-Canto maps). Default is
FALSE.
Value
A map of 'Xeno-Canto' recordings per species (image file), or a faceted plot of species map(s) in the active graphic device.
Details
DEPRECATED. This function creates maps for visualizing the geographic spread of recordings from the open-access
online repository Xeno-Canto. The function takes the output of
query_xc as input. Maps can be displayed in the graphic device (or Viewer if 'leaflet.map = TRUE') or saved as images in the
working directory. Note that only recordings with geographic coordinates are displayed.
References
Araya-Salas, M., & Smith-Vidaurre, G. (2017). warbleR: An R package to streamline analysis of animal acoustic signals. Methods in Ecology and Evolution, 8(2), 184-191.
Author
Marcelo Araya-Salas (marcelo.araya@ucr.ac.cr) and Grace Smith Vidaurre