occurrences_plot: Quick geographic plot of occurrence data
In ALA4R: Atlas of Living Australia (ALA) Data and Resources in R

Description Usage Arguments Value References Examples

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

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

`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()

Generates a pdf that maps the distributions.

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

## 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)