ALA4R (version 1.9.1)

occurrences_plot: Quick geographic plot of occurrence data

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 = "+")
# }