occurrences_plot: Quick geographic plot of occurrence data

In AtlasOfLivingAustralia/ALA4R: Atlas of Living Australia (ALA) Data and Resources in R

Description

Generates a plot of occurrence data retrieved using occurrences.The plot uses an Australian basemap and colours the occurrence records dots according to parameters

Usage

occurrences_plot(
  x,
  filename = "Rplots.pdf",
  qa = c("fatal", "error"),
  grouped = FALSE,
  taxon_level = "species",
  pch,
  cex = 0.75,
  ...
)

Arguments

x	list: a list object that has been downloaded using occurrences
filename	string: name of file to be created; defaults to RPlots.pdf
qa	string vector: list of record issues to be mapped; these can be assertion columnnames, or "all" or "none" or any combination of "error", "warning" or "fatal". Column or categories in your dataset can be viewed using check_assertions.
grouped	logical: TRUE creates a single plot for all observations; FALSE plots individual maps for the taxon level defined.
taxon_level	string: taxonomic level at which to create maps; possible values are "species", "genus", "family", or "order"
pch	single number or character representing point type. See description of pch in points.
cex	numeric: character (or symbol) expansion. See description of cex in points.
...	: other options passed to pdf()

Value

Generates a pdf that maps the distributions.

References

https://api.ala.org.au/

Examples

## Not run: 
## download some observations
x <- occurrences(taxon = "Eucalyptus gunnii", download_reason_id = 10)
occurrences_plot(x)

x <- occurrences(taxon = "Cider Gum", download_reason_id = 10)
occurrences_plot(x, "alaPlot.pdf", qa = "fatal", grouped = FALSE,
taxon_level = "species", pch = "+")

## End(Not run)

AtlasOfLivingAustralia/ALA4R documentation built on Sept. 16, 2021, 4:33 a.m.