dot-cc_outl_occTest: Identify geographic outliers based on methods from...
In occTest: Characterizing and Filtering Species Occurrence Data

.cc_outl_occTest

R Documentation

Identify geographic outliers based on methods from CoordinateCleaner package

Description

own version of coordinate cleaner geographic outliers

Usage

.cc_outl_occTest(
  x,
  lon = "decimallongitude",
  lat = "decimallatitude",
  species = "species",
  method = "quantile",
  mltpl = 5,
  tdi = 1000,
  value = "clean",
  sampling_thresh = 0,
  verbose = TRUE,
  min_occs = 7,
  thinning = FALSE,
  thinning_res = 0.5
)

Arguments

`x`	Data.frame of species occurrences
`lon`	character. Column name in x with decimal longitude values
`lat`	character. Column name in x with decimal latitude values
`species`	character. Species name.
`method`	character. Quantile by default
`mltpl`	integer. Multiplication factor. Default to 5
`tdi`	numeric. Default to 1000
`value`	character. Type of output. Default to 'clean'
`sampling_thresh`	numeric. Sampling threshold. Defaults to 0
`verbose`	logical. Should output messages be printed. Default to TRUE
`min_occs`	integer. Minimum number of occurrences. Defaults to 7
`thinning`	logical. Should thinning be performed? Defaults to FALSE
`thinning_res`	double. Thinnning resolution. Defaults to 0.5