centroidDetection: Centroid detection function

In occTest: Characterizing and Filtering Species Occurrence Data

Centroid detection function

Description

Identify occurrence records located near centroids.

Usage

centroidDetection(
  df,
  xf,
  yf,
  cf,
  idf,
  .ntv.ctry,
  .inv.ctry,
  .points.proj4string,
  .r.env,
  .countries.shapefile,
  cfsf,
  method = "all",
  do = TRUE,
  verbose = FALSE
)

Arguments

df	data.frame of species occurrences
xf	character. column name in df containing the x coordinates
yf	character. column name in df containing the y coordinates
idf	character. Column with the taxon observation ID.
.ntv.ctry	character. ISO3 country codes where species are considered native
.inv.ctry	character. ISO3 country codes where species are considered alien
.points.proj4string	Proj4string argument. Coordinate reference system
.r.env	raster. Raster of environmental variables considered in the analysis
.countries.shapefile	spatialPolygonDataFrame of political divisions
cfsf	character. Column name of the .country spatialPolygonDataFrame indicating the country in ISO3 coding.
method	character. Vector with the methods to detect centroids
do	logical. Should range analysis be performed? Default TRUE
verbose	logical. Print messages? Default FALSE
.c.field	character. Country field in the species data.frame (df)

Details

Current methods implemented for centroid detection are 'BIEN' (uses iterative procedure with threshold selection of distance to centroid)
, and method 'CoordinateCleaner' implementing methods used in CoordinateCleaner-package package.

Value

data.frame

Author(s)

Brian Maitner, Josep M Serra-Diaz, Cory Merow. Functions from CoordinateCleaner implemented by A Zizka (CoordinateCleaner)

See Also

cc_cap cc_cen

Other analysis: .nearestcell3(), countryStatusRangeAnalysis(), duplicatesexcludeAnalysis(), geoEnvAccuracy(), humanDetection()

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