dot-cc_outl_occTest: Identify geographic outliers based on methods from...

In occTest: Characterizing and Filtering Species Occurrence Data

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

Value

a clean data.frame

Author(s)

A Zizka (original function) Josep M Serra-Diaz (adaptation to occTest [e-mail])

occTest documentation built on Nov. 18, 2022, 5:07 p.m.